{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>42.709000</td>\n",
       "      <td>42.735001</td>\n",
       "      <td>43.327999</td>\n",
       "      <td>44.117001</td>\n",
       "      <td>45.039001</td>\n",
       "      <td>46.016998</td>\n",
       "      <td>47.000999</td>\n",
       "      <td>47.765999</td>\n",
       "      <td>48.473999</td>\n",
       "      <td>48.660000</td>\n",
       "      <td>48.848999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>75.255997</td>\n",
       "      <td>75.306999</td>\n",
       "      <td>75.344002</td>\n",
       "      <td>75.389000</td>\n",
       "      <td>75.432999</td>\n",
       "      <td>75.464996</td>\n",
       "      <td>75.478996</td>\n",
       "      <td>75.470001</td>\n",
       "      <td>75.450996</td>\n",
       "      <td>75.412003</td>\n",
       "      <td>75.372002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>44.945000</td>\n",
       "      <td>45.693001</td>\n",
       "      <td>47.104000</td>\n",
       "      <td>48.806000</td>\n",
       "      <td>44.650002</td>\n",
       "      <td>44.789001</td>\n",
       "      <td>47.675999</td>\n",
       "      <td>47.459000</td>\n",
       "      <td>47.312000</td>\n",
       "      <td>47.191002</td>\n",
       "      <td>47.081001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Arab World</td>\n",
       "      <td>20.052651</td>\n",
       "      <td>20.169026</td>\n",
       "      <td>20.268955</td>\n",
       "      <td>20.453085</td>\n",
       "      <td>20.753035</td>\n",
       "      <td>20.686165</td>\n",
       "      <td>20.492409</td>\n",
       "      <td>20.589288</td>\n",
       "      <td>20.536024</td>\n",
       "      <td>20.537448</td>\n",
       "      <td>20.525228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>42.514999</td>\n",
       "      <td>44.028999</td>\n",
       "      <td>45.143002</td>\n",
       "      <td>46.213001</td>\n",
       "      <td>47.263000</td>\n",
       "      <td>48.323002</td>\n",
       "      <td>49.396000</td>\n",
       "      <td>50.161999</td>\n",
       "      <td>51.266998</td>\n",
       "      <td>51.148998</td>\n",
       "      <td>51.067001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>48.823002</td>\n",
       "      <td>47.833000</td>\n",
       "      <td>48.102001</td>\n",
       "      <td>48.188000</td>\n",
       "      <td>47.790001</td>\n",
       "      <td>47.157001</td>\n",
       "      <td>47.825001</td>\n",
       "      <td>48.480000</td>\n",
       "      <td>49.118000</td>\n",
       "      <td>48.966999</td>\n",
       "      <td>48.813999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>48.299000</td>\n",
       "      <td>49.587002</td>\n",
       "      <td>52.091999</td>\n",
       "      <td>51.969002</td>\n",
       "      <td>52.631001</td>\n",
       "      <td>51.946999</td>\n",
       "      <td>51.166000</td>\n",
       "      <td>49.441002</td>\n",
       "      <td>49.419998</td>\n",
       "      <td>49.575001</td>\n",
       "      <td>49.674000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Australia</td>\n",
       "      <td>58.821999</td>\n",
       "      <td>58.706001</td>\n",
       "      <td>58.952000</td>\n",
       "      <td>58.826000</td>\n",
       "      <td>58.707001</td>\n",
       "      <td>58.648998</td>\n",
       "      <td>59.066002</td>\n",
       "      <td>59.247002</td>\n",
       "      <td>59.693001</td>\n",
       "      <td>59.645000</td>\n",
       "      <td>59.591000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Austria</td>\n",
       "      <td>53.373001</td>\n",
       "      <td>53.507000</td>\n",
       "      <td>53.839001</td>\n",
       "      <td>54.337002</td>\n",
       "      <td>54.598999</td>\n",
       "      <td>54.562000</td>\n",
       "      <td>54.535999</td>\n",
       "      <td>54.945999</td>\n",
       "      <td>54.868999</td>\n",
       "      <td>54.826000</td>\n",
       "      <td>54.745998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>59.617001</td>\n",
       "      <td>60.223000</td>\n",
       "      <td>60.813999</td>\n",
       "      <td>61.104000</td>\n",
       "      <td>61.323002</td>\n",
       "      <td>61.923000</td>\n",
       "      <td>62.516998</td>\n",
       "      <td>62.963001</td>\n",
       "      <td>63.262001</td>\n",
       "      <td>63.112999</td>\n",
       "      <td>62.916000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>80.610001</td>\n",
       "      <td>80.349998</td>\n",
       "      <td>80.112000</td>\n",
       "      <td>79.917999</td>\n",
       "      <td>79.748001</td>\n",
       "      <td>79.573998</td>\n",
       "      <td>79.844002</td>\n",
       "      <td>80.079002</td>\n",
       "      <td>80.286003</td>\n",
       "      <td>80.348999</td>\n",
       "      <td>80.363998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>46.745998</td>\n",
       "      <td>47.488998</td>\n",
       "      <td>46.805000</td>\n",
       "      <td>46.889000</td>\n",
       "      <td>47.594002</td>\n",
       "      <td>48.011002</td>\n",
       "      <td>48.023998</td>\n",
       "      <td>47.765999</td>\n",
       "      <td>47.891998</td>\n",
       "      <td>47.889000</td>\n",
       "      <td>47.867001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Benin</td>\n",
       "      <td>68.933998</td>\n",
       "      <td>69.223999</td>\n",
       "      <td>68.088997</td>\n",
       "      <td>68.207001</td>\n",
       "      <td>68.351997</td>\n",
       "      <td>68.512001</td>\n",
       "      <td>68.680000</td>\n",
       "      <td>68.835999</td>\n",
       "      <td>69.016998</td>\n",
       "      <td>69.176002</td>\n",
       "      <td>69.334999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>60.092999</td>\n",
       "      <td>59.717999</td>\n",
       "      <td>59.341000</td>\n",
       "      <td>58.971001</td>\n",
       "      <td>58.606998</td>\n",
       "      <td>58.249001</td>\n",
       "      <td>58.375999</td>\n",
       "      <td>58.497002</td>\n",
       "      <td>58.626999</td>\n",
       "      <td>58.462002</td>\n",
       "      <td>58.292000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>29.382000</td>\n",
       "      <td>29.882999</td>\n",
       "      <td>30.371000</td>\n",
       "      <td>30.864000</td>\n",
       "      <td>31.364000</td>\n",
       "      <td>31.871000</td>\n",
       "      <td>32.383999</td>\n",
       "      <td>32.889999</td>\n",
       "      <td>35.852001</td>\n",
       "      <td>35.999001</td>\n",
       "      <td>36.143002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>48.089001</td>\n",
       "      <td>47.698002</td>\n",
       "      <td>47.216999</td>\n",
       "      <td>47.825001</td>\n",
       "      <td>48.528000</td>\n",
       "      <td>48.629002</td>\n",
       "      <td>48.632999</td>\n",
       "      <td>47.764999</td>\n",
       "      <td>49.626999</td>\n",
       "      <td>49.529999</td>\n",
       "      <td>49.416000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>42.604000</td>\n",
       "      <td>43.763000</td>\n",
       "      <td>43.004002</td>\n",
       "      <td>43.202999</td>\n",
       "      <td>43.404999</td>\n",
       "      <td>43.615002</td>\n",
       "      <td>43.800999</td>\n",
       "      <td>44.011002</td>\n",
       "      <td>44.352001</td>\n",
       "      <td>44.473000</td>\n",
       "      <td>44.612999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Bahamas, The</td>\n",
       "      <td>68.639999</td>\n",
       "      <td>68.742996</td>\n",
       "      <td>68.555000</td>\n",
       "      <td>68.616997</td>\n",
       "      <td>68.436996</td>\n",
       "      <td>68.180000</td>\n",
       "      <td>67.744003</td>\n",
       "      <td>67.530998</td>\n",
       "      <td>67.527000</td>\n",
       "      <td>67.568001</td>\n",
       "      <td>67.540001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>37.223999</td>\n",
       "      <td>37.063999</td>\n",
       "      <td>36.837002</td>\n",
       "      <td>36.547001</td>\n",
       "      <td>36.273998</td>\n",
       "      <td>35.972000</td>\n",
       "      <td>35.667000</td>\n",
       "      <td>35.258999</td>\n",
       "      <td>35.726002</td>\n",
       "      <td>35.627998</td>\n",
       "      <td>35.521000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>57.152000</td>\n",
       "      <td>57.540001</td>\n",
       "      <td>57.861000</td>\n",
       "      <td>58.136002</td>\n",
       "      <td>58.358002</td>\n",
       "      <td>58.527000</td>\n",
       "      <td>58.641998</td>\n",
       "      <td>58.665001</td>\n",
       "      <td>58.395000</td>\n",
       "      <td>58.126999</td>\n",
       "      <td>57.827000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Belize</td>\n",
       "      <td>50.747002</td>\n",
       "      <td>51.938000</td>\n",
       "      <td>53.235001</td>\n",
       "      <td>54.527000</td>\n",
       "      <td>53.701000</td>\n",
       "      <td>52.930000</td>\n",
       "      <td>52.212002</td>\n",
       "      <td>52.768002</td>\n",
       "      <td>52.924999</td>\n",
       "      <td>53.280998</td>\n",
       "      <td>53.648998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bermuda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>62.367001</td>\n",
       "      <td>62.019001</td>\n",
       "      <td>61.651001</td>\n",
       "      <td>57.944000</td>\n",
       "      <td>58.820999</td>\n",
       "      <td>60.900002</td>\n",
       "      <td>54.508999</td>\n",
       "      <td>60.321999</td>\n",
       "      <td>56.585999</td>\n",
       "      <td>56.595001</td>\n",
       "      <td>56.611000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>54.966000</td>\n",
       "      <td>53.576000</td>\n",
       "      <td>52.173000</td>\n",
       "      <td>53.077999</td>\n",
       "      <td>52.976002</td>\n",
       "      <td>52.860001</td>\n",
       "      <td>53.377998</td>\n",
       "      <td>53.320999</td>\n",
       "      <td>54.167999</td>\n",
       "      <td>54.029999</td>\n",
       "      <td>53.882000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>63.606998</td>\n",
       "      <td>63.492001</td>\n",
       "      <td>63.287998</td>\n",
       "      <td>62.061001</td>\n",
       "      <td>63.230999</td>\n",
       "      <td>61.855999</td>\n",
       "      <td>61.860001</td>\n",
       "      <td>62.568001</td>\n",
       "      <td>62.234001</td>\n",
       "      <td>61.894001</td>\n",
       "      <td>61.528000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Brunei Darussalam</td>\n",
       "      <td>56.659000</td>\n",
       "      <td>56.928001</td>\n",
       "      <td>57.191002</td>\n",
       "      <td>57.416000</td>\n",
       "      <td>57.618000</td>\n",
       "      <td>57.810001</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.188000</td>\n",
       "      <td>58.362000</td>\n",
       "      <td>58.220001</td>\n",
       "      <td>58.071999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>Latin America &amp; the Caribbean (IDA &amp; IBRD coun...</td>\n",
       "      <td>51.629659</td>\n",
       "      <td>51.185245</td>\n",
       "      <td>50.864398</td>\n",
       "      <td>51.698867</td>\n",
       "      <td>51.559410</td>\n",
       "      <td>51.260341</td>\n",
       "      <td>51.521785</td>\n",
       "      <td>51.721148</td>\n",
       "      <td>52.035162</td>\n",
       "      <td>52.052128</td>\n",
       "      <td>52.059513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Timor-Leste</td>\n",
       "      <td>27.209000</td>\n",
       "      <td>26.469000</td>\n",
       "      <td>26.180000</td>\n",
       "      <td>25.913000</td>\n",
       "      <td>25.681000</td>\n",
       "      <td>25.450001</td>\n",
       "      <td>25.270000</td>\n",
       "      <td>25.160000</td>\n",
       "      <td>25.202000</td>\n",
       "      <td>25.034000</td>\n",
       "      <td>24.851000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>Middle East &amp; North Africa (IDA &amp; IBRD countries)</td>\n",
       "      <td>18.371887</td>\n",
       "      <td>18.220439</td>\n",
       "      <td>17.979422</td>\n",
       "      <td>17.871078</td>\n",
       "      <td>17.951179</td>\n",
       "      <td>17.612709</td>\n",
       "      <td>17.575307</td>\n",
       "      <td>18.002983</td>\n",
       "      <td>17.846133</td>\n",
       "      <td>17.801293</td>\n",
       "      <td>17.738633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>Tonga</td>\n",
       "      <td>45.432999</td>\n",
       "      <td>45.334999</td>\n",
       "      <td>45.306999</td>\n",
       "      <td>45.316002</td>\n",
       "      <td>45.358002</td>\n",
       "      <td>45.323002</td>\n",
       "      <td>45.230000</td>\n",
       "      <td>45.244999</td>\n",
       "      <td>45.251999</td>\n",
       "      <td>45.250000</td>\n",
       "      <td>45.209999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>South Asia (IDA &amp; IBRD)</td>\n",
       "      <td>27.832411</td>\n",
       "      <td>27.050263</td>\n",
       "      <td>26.050446</td>\n",
       "      <td>25.082699</td>\n",
       "      <td>25.354484</td>\n",
       "      <td>25.580315</td>\n",
       "      <td>25.875504</td>\n",
       "      <td>26.062319</td>\n",
       "      <td>26.460767</td>\n",
       "      <td>26.371171</td>\n",
       "      <td>26.278402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Sub-Saharan Africa (IDA &amp; IBRD countries)</td>\n",
       "      <td>61.260450</td>\n",
       "      <td>60.996748</td>\n",
       "      <td>60.923675</td>\n",
       "      <td>60.850175</td>\n",
       "      <td>60.929255</td>\n",
       "      <td>60.901829</td>\n",
       "      <td>61.045061</td>\n",
       "      <td>61.152641</td>\n",
       "      <td>61.363740</td>\n",
       "      <td>61.381375</td>\n",
       "      <td>61.395935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>51.660999</td>\n",
       "      <td>51.025002</td>\n",
       "      <td>50.359001</td>\n",
       "      <td>51.640999</td>\n",
       "      <td>51.896000</td>\n",
       "      <td>52.256001</td>\n",
       "      <td>50.848999</td>\n",
       "      <td>51.210999</td>\n",
       "      <td>50.511002</td>\n",
       "      <td>50.354000</td>\n",
       "      <td>50.147999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>24.385000</td>\n",
       "      <td>24.459999</td>\n",
       "      <td>24.445999</td>\n",
       "      <td>25.245001</td>\n",
       "      <td>25.143000</td>\n",
       "      <td>24.933001</td>\n",
       "      <td>24.726999</td>\n",
       "      <td>24.468000</td>\n",
       "      <td>24.226000</td>\n",
       "      <td>24.080000</td>\n",
       "      <td>23.909000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>25.478001</td>\n",
       "      <td>27.033001</td>\n",
       "      <td>28.323000</td>\n",
       "      <td>28.879000</td>\n",
       "      <td>30.101999</td>\n",
       "      <td>30.243000</td>\n",
       "      <td>31.475000</td>\n",
       "      <td>32.507000</td>\n",
       "      <td>33.571999</td>\n",
       "      <td>33.520000</td>\n",
       "      <td>33.458000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>84.781998</td>\n",
       "      <td>83.900002</td>\n",
       "      <td>82.952003</td>\n",
       "      <td>81.917000</td>\n",
       "      <td>80.780998</td>\n",
       "      <td>79.533997</td>\n",
       "      <td>79.553001</td>\n",
       "      <td>79.570000</td>\n",
       "      <td>79.577003</td>\n",
       "      <td>79.389000</td>\n",
       "      <td>79.203003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>65.688004</td>\n",
       "      <td>65.876999</td>\n",
       "      <td>66.081001</td>\n",
       "      <td>66.291000</td>\n",
       "      <td>66.430000</td>\n",
       "      <td>66.582001</td>\n",
       "      <td>66.744003</td>\n",
       "      <td>66.885002</td>\n",
       "      <td>67.037003</td>\n",
       "      <td>67.151001</td>\n",
       "      <td>67.269997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Ukraine</td>\n",
       "      <td>48.445000</td>\n",
       "      <td>48.410000</td>\n",
       "      <td>48.250999</td>\n",
       "      <td>47.485001</td>\n",
       "      <td>48.376999</td>\n",
       "      <td>47.040001</td>\n",
       "      <td>47.360001</td>\n",
       "      <td>47.075001</td>\n",
       "      <td>46.938000</td>\n",
       "      <td>46.679001</td>\n",
       "      <td>46.396999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>56.201803</td>\n",
       "      <td>55.670890</td>\n",
       "      <td>55.570200</td>\n",
       "      <td>55.603981</td>\n",
       "      <td>55.382775</td>\n",
       "      <td>55.061678</td>\n",
       "      <td>54.994629</td>\n",
       "      <td>54.828160</td>\n",
       "      <td>54.693724</td>\n",
       "      <td>54.296955</td>\n",
       "      <td>53.875677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>55.616001</td>\n",
       "      <td>55.334000</td>\n",
       "      <td>55.978001</td>\n",
       "      <td>55.787998</td>\n",
       "      <td>54.973999</td>\n",
       "      <td>55.965000</td>\n",
       "      <td>55.724998</td>\n",
       "      <td>55.926998</td>\n",
       "      <td>55.597000</td>\n",
       "      <td>55.771000</td>\n",
       "      <td>55.931000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>United States</td>\n",
       "      <td>58.144001</td>\n",
       "      <td>57.501999</td>\n",
       "      <td>56.930000</td>\n",
       "      <td>56.701000</td>\n",
       "      <td>56.292000</td>\n",
       "      <td>56.111000</td>\n",
       "      <td>55.834000</td>\n",
       "      <td>55.993999</td>\n",
       "      <td>56.313000</td>\n",
       "      <td>56.047001</td>\n",
       "      <td>55.778000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>52.606998</td>\n",
       "      <td>52.736000</td>\n",
       "      <td>52.865002</td>\n",
       "      <td>52.997002</td>\n",
       "      <td>53.129002</td>\n",
       "      <td>53.244999</td>\n",
       "      <td>53.327999</td>\n",
       "      <td>53.377998</td>\n",
       "      <td>53.419998</td>\n",
       "      <td>53.412998</td>\n",
       "      <td>53.355999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>St. Vincent and the Grenadines</td>\n",
       "      <td>56.441002</td>\n",
       "      <td>56.416000</td>\n",
       "      <td>56.487000</td>\n",
       "      <td>56.708000</td>\n",
       "      <td>56.938999</td>\n",
       "      <td>57.042999</td>\n",
       "      <td>57.071999</td>\n",
       "      <td>57.206001</td>\n",
       "      <td>57.195999</td>\n",
       "      <td>57.278999</td>\n",
       "      <td>57.313999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Venezuela, RB</td>\n",
       "      <td>51.095001</td>\n",
       "      <td>50.619999</td>\n",
       "      <td>50.995998</td>\n",
       "      <td>50.584000</td>\n",
       "      <td>50.773998</td>\n",
       "      <td>50.542000</td>\n",
       "      <td>50.122002</td>\n",
       "      <td>48.775002</td>\n",
       "      <td>47.694000</td>\n",
       "      <td>47.743000</td>\n",
       "      <td>47.783001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Virgin Islands (U.S.)</td>\n",
       "      <td>58.008999</td>\n",
       "      <td>57.865002</td>\n",
       "      <td>57.429001</td>\n",
       "      <td>56.706001</td>\n",
       "      <td>56.375999</td>\n",
       "      <td>56.105999</td>\n",
       "      <td>55.855000</td>\n",
       "      <td>55.743000</td>\n",
       "      <td>55.769001</td>\n",
       "      <td>55.617001</td>\n",
       "      <td>55.433998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>71.398003</td>\n",
       "      <td>71.305000</td>\n",
       "      <td>71.459999</td>\n",
       "      <td>71.969002</td>\n",
       "      <td>72.902000</td>\n",
       "      <td>73.195000</td>\n",
       "      <td>72.945999</td>\n",
       "      <td>72.642998</td>\n",
       "      <td>72.697998</td>\n",
       "      <td>72.649002</td>\n",
       "      <td>72.541000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>61.069000</td>\n",
       "      <td>61.241001</td>\n",
       "      <td>61.323002</td>\n",
       "      <td>61.354000</td>\n",
       "      <td>61.379002</td>\n",
       "      <td>61.411999</td>\n",
       "      <td>61.584999</td>\n",
       "      <td>61.528000</td>\n",
       "      <td>61.484001</td>\n",
       "      <td>61.507999</td>\n",
       "      <td>61.533001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>World</td>\n",
       "      <td>49.091606</td>\n",
       "      <td>48.677926</td>\n",
       "      <td>48.363017</td>\n",
       "      <td>48.164190</td>\n",
       "      <td>48.114513</td>\n",
       "      <td>48.033072</td>\n",
       "      <td>48.025554</td>\n",
       "      <td>48.027061</td>\n",
       "      <td>48.089157</td>\n",
       "      <td>47.883420</td>\n",
       "      <td>47.662671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>Samoa</td>\n",
       "      <td>24.337999</td>\n",
       "      <td>24.301001</td>\n",
       "      <td>24.173000</td>\n",
       "      <td>24.118000</td>\n",
       "      <td>24.091000</td>\n",
       "      <td>24.011999</td>\n",
       "      <td>23.916000</td>\n",
       "      <td>23.799000</td>\n",
       "      <td>23.740000</td>\n",
       "      <td>23.674999</td>\n",
       "      <td>23.587999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>10.798000</td>\n",
       "      <td>10.049000</td>\n",
       "      <td>8.848000</td>\n",
       "      <td>7.799000</td>\n",
       "      <td>6.884000</td>\n",
       "      <td>6.083000</td>\n",
       "      <td>6.106000</td>\n",
       "      <td>6.117000</td>\n",
       "      <td>6.138000</td>\n",
       "      <td>5.983000</td>\n",
       "      <td>5.827000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>46.286999</td>\n",
       "      <td>44.728001</td>\n",
       "      <td>45.198002</td>\n",
       "      <td>45.418999</td>\n",
       "      <td>46.387001</td>\n",
       "      <td>46.612000</td>\n",
       "      <td>47.801998</td>\n",
       "      <td>47.797001</td>\n",
       "      <td>48.922001</td>\n",
       "      <td>48.848999</td>\n",
       "      <td>48.768002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>71.610001</td>\n",
       "      <td>71.059998</td>\n",
       "      <td>70.542999</td>\n",
       "      <td>70.021004</td>\n",
       "      <td>70.155998</td>\n",
       "      <td>70.295998</td>\n",
       "      <td>70.445000</td>\n",
       "      <td>70.585999</td>\n",
       "      <td>70.733002</td>\n",
       "      <td>70.752998</td>\n",
       "      <td>70.785004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>77.295998</td>\n",
       "      <td>77.362000</td>\n",
       "      <td>77.492996</td>\n",
       "      <td>77.649002</td>\n",
       "      <td>77.796997</td>\n",
       "      <td>77.935997</td>\n",
       "      <td>78.069000</td>\n",
       "      <td>78.219002</td>\n",
       "      <td>78.387001</td>\n",
       "      <td>78.568001</td>\n",
       "      <td>78.733002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>264 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               country       2009       2010  \\\n",
       "0                                                Aruba        NaN        NaN   \n",
       "1                                          Afghanistan  42.709000  42.735001   \n",
       "2                                               Angola  75.255997  75.306999   \n",
       "3                                              Albania  44.945000  45.693001   \n",
       "4                                              Andorra        NaN        NaN   \n",
       "5                                           Arab World  20.052651  20.169026   \n",
       "6                                 United Arab Emirates  42.514999  44.028999   \n",
       "7                                            Argentina  48.823002  47.833000   \n",
       "8                                              Armenia  48.299000  49.587002   \n",
       "9                                       American Samoa        NaN        NaN   \n",
       "10                                 Antigua and Barbuda        NaN        NaN   \n",
       "11                                           Australia  58.821999  58.706001   \n",
       "12                                             Austria  53.373001  53.507000   \n",
       "13                                          Azerbaijan  59.617001  60.223000   \n",
       "14                                             Burundi  80.610001  80.349998   \n",
       "15                                             Belgium  46.745998  47.488998   \n",
       "16                                               Benin  68.933998  69.223999   \n",
       "17                                        Burkina Faso  60.092999  59.717999   \n",
       "18                                          Bangladesh  29.382000  29.882999   \n",
       "19                                            Bulgaria  48.089001  47.698002   \n",
       "20                                             Bahrain  42.604000  43.763000   \n",
       "21                                        Bahamas, The  68.639999  68.742996   \n",
       "22                              Bosnia and Herzegovina  37.223999  37.063999   \n",
       "23                                             Belarus  57.152000  57.540001   \n",
       "24                                              Belize  50.747002  51.938000   \n",
       "25                                             Bermuda        NaN        NaN   \n",
       "26                                             Bolivia  62.367001  62.019001   \n",
       "27                                              Brazil  54.966000  53.576000   \n",
       "28                                            Barbados  63.606998  63.492001   \n",
       "29                                   Brunei Darussalam  56.659000  56.928001   \n",
       "..                                                 ...        ...        ...   \n",
       "234  Latin America & the Caribbean (IDA & IBRD coun...  51.629659  51.185245   \n",
       "235                                        Timor-Leste  27.209000  26.469000   \n",
       "236  Middle East & North Africa (IDA & IBRD countries)  18.371887  18.220439   \n",
       "237                                              Tonga  45.432999  45.334999   \n",
       "238                            South Asia (IDA & IBRD)  27.832411  27.050263   \n",
       "239          Sub-Saharan Africa (IDA & IBRD countries)  61.260450  60.996748   \n",
       "240                                Trinidad and Tobago  51.660999  51.025002   \n",
       "241                                            Tunisia  24.385000  24.459999   \n",
       "242                                             Turkey  25.478001  27.033001   \n",
       "243                                             Tuvalu        NaN        NaN   \n",
       "244                                           Tanzania  84.781998  83.900002   \n",
       "245                                             Uganda  65.688004  65.876999   \n",
       "246                                            Ukraine  48.445000  48.410000   \n",
       "247                                Upper middle income  56.201803  55.670890   \n",
       "248                                            Uruguay  55.616001  55.334000   \n",
       "249                                      United States  58.144001  57.501999   \n",
       "250                                         Uzbekistan  52.606998  52.736000   \n",
       "251                     St. Vincent and the Grenadines  56.441002  56.416000   \n",
       "252                                      Venezuela, RB  51.095001  50.619999   \n",
       "253                             British Virgin Islands        NaN        NaN   \n",
       "254                              Virgin Islands (U.S.)  58.008999  57.865002   \n",
       "255                                            Vietnam  71.398003  71.305000   \n",
       "256                                            Vanuatu  61.069000  61.241001   \n",
       "257                                              World  49.091606  48.677926   \n",
       "258                                              Samoa  24.337999  24.301001   \n",
       "259                                             Kosovo        NaN        NaN   \n",
       "260                                        Yemen, Rep.  10.798000  10.049000   \n",
       "261                                       South Africa  46.286999  44.728001   \n",
       "262                                             Zambia  71.610001  71.059998   \n",
       "263                                           Zimbabwe  77.295998  77.362000   \n",
       "\n",
       "          2011       2012       2013       2014       2015       2016  \\\n",
       "0          NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "1    43.327999  44.117001  45.039001  46.016998  47.000999  47.765999   \n",
       "2    75.344002  75.389000  75.432999  75.464996  75.478996  75.470001   \n",
       "3    47.104000  48.806000  44.650002  44.789001  47.675999  47.459000   \n",
       "4          NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "5    20.268955  20.453085  20.753035  20.686165  20.492409  20.589288   \n",
       "6    45.143002  46.213001  47.263000  48.323002  49.396000  50.161999   \n",
       "7    48.102001  48.188000  47.790001  47.157001  47.825001  48.480000   \n",
       "8    52.091999  51.969002  52.631001  51.946999  51.166000  49.441002   \n",
       "9          NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "10         NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "11   58.952000  58.826000  58.707001  58.648998  59.066002  59.247002   \n",
       "12   53.839001  54.337002  54.598999  54.562000  54.535999  54.945999   \n",
       "13   60.813999  61.104000  61.323002  61.923000  62.516998  62.963001   \n",
       "14   80.112000  79.917999  79.748001  79.573998  79.844002  80.079002   \n",
       "15   46.805000  46.889000  47.594002  48.011002  48.023998  47.765999   \n",
       "16   68.088997  68.207001  68.351997  68.512001  68.680000  68.835999   \n",
       "17   59.341000  58.971001  58.606998  58.249001  58.375999  58.497002   \n",
       "18   30.371000  30.864000  31.364000  31.871000  32.383999  32.889999   \n",
       "19   47.216999  47.825001  48.528000  48.629002  48.632999  47.764999   \n",
       "20   43.004002  43.202999  43.404999  43.615002  43.800999  44.011002   \n",
       "21   68.555000  68.616997  68.436996  68.180000  67.744003  67.530998   \n",
       "22   36.837002  36.547001  36.273998  35.972000  35.667000  35.258999   \n",
       "23   57.861000  58.136002  58.358002  58.527000  58.641998  58.665001   \n",
       "24   53.235001  54.527000  53.701000  52.930000  52.212002  52.768002   \n",
       "25         NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "26   61.651001  57.944000  58.820999  60.900002  54.508999  60.321999   \n",
       "27   52.173000  53.077999  52.976002  52.860001  53.377998  53.320999   \n",
       "28   63.287998  62.061001  63.230999  61.855999  61.860001  62.568001   \n",
       "29   57.191002  57.416000  57.618000  57.810001  58.000000  58.188000   \n",
       "..         ...        ...        ...        ...        ...        ...   \n",
       "234  50.864398  51.698867  51.559410  51.260341  51.521785  51.721148   \n",
       "235  26.180000  25.913000  25.681000  25.450001  25.270000  25.160000   \n",
       "236  17.979422  17.871078  17.951179  17.612709  17.575307  18.002983   \n",
       "237  45.306999  45.316002  45.358002  45.323002  45.230000  45.244999   \n",
       "238  26.050446  25.082699  25.354484  25.580315  25.875504  26.062319   \n",
       "239  60.923675  60.850175  60.929255  60.901829  61.045061  61.152641   \n",
       "240  50.359001  51.640999  51.896000  52.256001  50.848999  51.210999   \n",
       "241  24.445999  25.245001  25.143000  24.933001  24.726999  24.468000   \n",
       "242  28.323000  28.879000  30.101999  30.243000  31.475000  32.507000   \n",
       "243        NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "244  82.952003  81.917000  80.780998  79.533997  79.553001  79.570000   \n",
       "245  66.081001  66.291000  66.430000  66.582001  66.744003  66.885002   \n",
       "246  48.250999  47.485001  48.376999  47.040001  47.360001  47.075001   \n",
       "247  55.570200  55.603981  55.382775  55.061678  54.994629  54.828160   \n",
       "248  55.978001  55.787998  54.973999  55.965000  55.724998  55.926998   \n",
       "249  56.930000  56.701000  56.292000  56.111000  55.834000  55.993999   \n",
       "250  52.865002  52.997002  53.129002  53.244999  53.327999  53.377998   \n",
       "251  56.487000  56.708000  56.938999  57.042999  57.071999  57.206001   \n",
       "252  50.995998  50.584000  50.773998  50.542000  50.122002  48.775002   \n",
       "253        NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "254  57.429001  56.706001  56.375999  56.105999  55.855000  55.743000   \n",
       "255  71.459999  71.969002  72.902000  73.195000  72.945999  72.642998   \n",
       "256  61.323002  61.354000  61.379002  61.411999  61.584999  61.528000   \n",
       "257  48.363017  48.164190  48.114513  48.033072  48.025554  48.027061   \n",
       "258  24.173000  24.118000  24.091000  24.011999  23.916000  23.799000   \n",
       "259        NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "260   8.848000   7.799000   6.884000   6.083000   6.106000   6.117000   \n",
       "261  45.198002  45.418999  46.387001  46.612000  47.801998  47.797001   \n",
       "262  70.542999  70.021004  70.155998  70.295998  70.445000  70.585999   \n",
       "263  77.492996  77.649002  77.796997  77.935997  78.069000  78.219002   \n",
       "\n",
       "          2017       2018       2019  \n",
       "0          NaN        NaN        NaN  \n",
       "1    48.473999  48.660000  48.848999  \n",
       "2    75.450996  75.412003  75.372002  \n",
       "3    47.312000  47.191002  47.081001  \n",
       "4          NaN        NaN        NaN  \n",
       "5    20.536024  20.537448  20.525228  \n",
       "6    51.266998  51.148998  51.067001  \n",
       "7    49.118000  48.966999  48.813999  \n",
       "8    49.419998  49.575001  49.674000  \n",
       "9          NaN        NaN        NaN  \n",
       "10         NaN        NaN        NaN  \n",
       "11   59.693001  59.645000  59.591000  \n",
       "12   54.868999  54.826000  54.745998  \n",
       "13   63.262001  63.112999  62.916000  \n",
       "14   80.286003  80.348999  80.363998  \n",
       "15   47.891998  47.889000  47.867001  \n",
       "16   69.016998  69.176002  69.334999  \n",
       "17   58.626999  58.462002  58.292000  \n",
       "18   35.852001  35.999001  36.143002  \n",
       "19   49.626999  49.529999  49.416000  \n",
       "20   44.352001  44.473000  44.612999  \n",
       "21   67.527000  67.568001  67.540001  \n",
       "22   35.726002  35.627998  35.521000  \n",
       "23   58.395000  58.126999  57.827000  \n",
       "24   52.924999  53.280998  53.648998  \n",
       "25         NaN        NaN        NaN  \n",
       "26   56.585999  56.595001  56.611000  \n",
       "27   54.167999  54.029999  53.882000  \n",
       "28   62.234001  61.894001  61.528000  \n",
       "29   58.362000  58.220001  58.071999  \n",
       "..         ...        ...        ...  \n",
       "234  52.035162  52.052128  52.059513  \n",
       "235  25.202000  25.034000  24.851000  \n",
       "236  17.846133  17.801293  17.738633  \n",
       "237  45.251999  45.250000  45.209999  \n",
       "238  26.460767  26.371171  26.278402  \n",
       "239  61.363740  61.381375  61.395935  \n",
       "240  50.511002  50.354000  50.147999  \n",
       "241  24.226000  24.080000  23.909000  \n",
       "242  33.571999  33.520000  33.458000  \n",
       "243        NaN        NaN        NaN  \n",
       "244  79.577003  79.389000  79.203003  \n",
       "245  67.037003  67.151001  67.269997  \n",
       "246  46.938000  46.679001  46.396999  \n",
       "247  54.693724  54.296955  53.875677  \n",
       "248  55.597000  55.771000  55.931000  \n",
       "249  56.313000  56.047001  55.778000  \n",
       "250  53.419998  53.412998  53.355999  \n",
       "251  57.195999  57.278999  57.313999  \n",
       "252  47.694000  47.743000  47.783001  \n",
       "253        NaN        NaN        NaN  \n",
       "254  55.769001  55.617001  55.433998  \n",
       "255  72.697998  72.649002  72.541000  \n",
       "256  61.484001  61.507999  61.533001  \n",
       "257  48.089157  47.883420  47.662671  \n",
       "258  23.740000  23.674999  23.587999  \n",
       "259        NaN        NaN        NaN  \n",
       "260   6.138000   5.983000   5.827000  \n",
       "261  48.922001  48.848999  48.768002  \n",
       "262  70.733002  70.752998  70.785004  \n",
       "263  78.387001  78.568001  78.733002  \n",
       "\n",
       "[264 rows x 12 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "dfa = pd.read_csv('Labor_force_participation_rate_ female.csv',encoding=\"GBK\")\n",
    "dfa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>42.709000</td>\n",
       "      <td>42.735001</td>\n",
       "      <td>43.327999</td>\n",
       "      <td>44.117001</td>\n",
       "      <td>45.039001</td>\n",
       "      <td>46.016998</td>\n",
       "      <td>47.000999</td>\n",
       "      <td>47.765999</td>\n",
       "      <td>48.473999</td>\n",
       "      <td>48.660000</td>\n",
       "      <td>48.848999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>75.255997</td>\n",
       "      <td>75.306999</td>\n",
       "      <td>75.344002</td>\n",
       "      <td>75.389000</td>\n",
       "      <td>75.432999</td>\n",
       "      <td>75.464996</td>\n",
       "      <td>75.478996</td>\n",
       "      <td>75.470001</td>\n",
       "      <td>75.450996</td>\n",
       "      <td>75.412003</td>\n",
       "      <td>75.372002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>44.945000</td>\n",
       "      <td>45.693001</td>\n",
       "      <td>47.104000</td>\n",
       "      <td>48.806000</td>\n",
       "      <td>44.650002</td>\n",
       "      <td>44.789001</td>\n",
       "      <td>47.675999</td>\n",
       "      <td>47.459000</td>\n",
       "      <td>47.312000</td>\n",
       "      <td>47.191002</td>\n",
       "      <td>47.081001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Arab World</td>\n",
       "      <td>20.052651</td>\n",
       "      <td>20.169026</td>\n",
       "      <td>20.268955</td>\n",
       "      <td>20.453085</td>\n",
       "      <td>20.753035</td>\n",
       "      <td>20.686165</td>\n",
       "      <td>20.492409</td>\n",
       "      <td>20.589288</td>\n",
       "      <td>20.536024</td>\n",
       "      <td>20.537448</td>\n",
       "      <td>20.525228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>42.514999</td>\n",
       "      <td>44.028999</td>\n",
       "      <td>45.143002</td>\n",
       "      <td>46.213001</td>\n",
       "      <td>47.263000</td>\n",
       "      <td>48.323002</td>\n",
       "      <td>49.396000</td>\n",
       "      <td>50.161999</td>\n",
       "      <td>51.266998</td>\n",
       "      <td>51.148998</td>\n",
       "      <td>51.067001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>48.823002</td>\n",
       "      <td>47.833000</td>\n",
       "      <td>48.102001</td>\n",
       "      <td>48.188000</td>\n",
       "      <td>47.790001</td>\n",
       "      <td>47.157001</td>\n",
       "      <td>47.825001</td>\n",
       "      <td>48.480000</td>\n",
       "      <td>49.118000</td>\n",
       "      <td>48.966999</td>\n",
       "      <td>48.813999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>48.299000</td>\n",
       "      <td>49.587002</td>\n",
       "      <td>52.091999</td>\n",
       "      <td>51.969002</td>\n",
       "      <td>52.631001</td>\n",
       "      <td>51.946999</td>\n",
       "      <td>51.166000</td>\n",
       "      <td>49.441002</td>\n",
       "      <td>49.419998</td>\n",
       "      <td>49.575001</td>\n",
       "      <td>49.674000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Australia</td>\n",
       "      <td>58.821999</td>\n",
       "      <td>58.706001</td>\n",
       "      <td>58.952000</td>\n",
       "      <td>58.826000</td>\n",
       "      <td>58.707001</td>\n",
       "      <td>58.648998</td>\n",
       "      <td>59.066002</td>\n",
       "      <td>59.247002</td>\n",
       "      <td>59.693001</td>\n",
       "      <td>59.645000</td>\n",
       "      <td>59.591000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Austria</td>\n",
       "      <td>53.373001</td>\n",
       "      <td>53.507000</td>\n",
       "      <td>53.839001</td>\n",
       "      <td>54.337002</td>\n",
       "      <td>54.598999</td>\n",
       "      <td>54.562000</td>\n",
       "      <td>54.535999</td>\n",
       "      <td>54.945999</td>\n",
       "      <td>54.868999</td>\n",
       "      <td>54.826000</td>\n",
       "      <td>54.745998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>59.617001</td>\n",
       "      <td>60.223000</td>\n",
       "      <td>60.813999</td>\n",
       "      <td>61.104000</td>\n",
       "      <td>61.323002</td>\n",
       "      <td>61.923000</td>\n",
       "      <td>62.516998</td>\n",
       "      <td>62.963001</td>\n",
       "      <td>63.262001</td>\n",
       "      <td>63.112999</td>\n",
       "      <td>62.916000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>80.610001</td>\n",
       "      <td>80.349998</td>\n",
       "      <td>80.112000</td>\n",
       "      <td>79.917999</td>\n",
       "      <td>79.748001</td>\n",
       "      <td>79.573998</td>\n",
       "      <td>79.844002</td>\n",
       "      <td>80.079002</td>\n",
       "      <td>80.286003</td>\n",
       "      <td>80.348999</td>\n",
       "      <td>80.363998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>46.745998</td>\n",
       "      <td>47.488998</td>\n",
       "      <td>46.805000</td>\n",
       "      <td>46.889000</td>\n",
       "      <td>47.594002</td>\n",
       "      <td>48.011002</td>\n",
       "      <td>48.023998</td>\n",
       "      <td>47.765999</td>\n",
       "      <td>47.891998</td>\n",
       "      <td>47.889000</td>\n",
       "      <td>47.867001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Benin</td>\n",
       "      <td>68.933998</td>\n",
       "      <td>69.223999</td>\n",
       "      <td>68.088997</td>\n",
       "      <td>68.207001</td>\n",
       "      <td>68.351997</td>\n",
       "      <td>68.512001</td>\n",
       "      <td>68.680000</td>\n",
       "      <td>68.835999</td>\n",
       "      <td>69.016998</td>\n",
       "      <td>69.176002</td>\n",
       "      <td>69.334999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>60.092999</td>\n",
       "      <td>59.717999</td>\n",
       "      <td>59.341000</td>\n",
       "      <td>58.971001</td>\n",
       "      <td>58.606998</td>\n",
       "      <td>58.249001</td>\n",
       "      <td>58.375999</td>\n",
       "      <td>58.497002</td>\n",
       "      <td>58.626999</td>\n",
       "      <td>58.462002</td>\n",
       "      <td>58.292000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>29.382000</td>\n",
       "      <td>29.882999</td>\n",
       "      <td>30.371000</td>\n",
       "      <td>30.864000</td>\n",
       "      <td>31.364000</td>\n",
       "      <td>31.871000</td>\n",
       "      <td>32.383999</td>\n",
       "      <td>32.889999</td>\n",
       "      <td>35.852001</td>\n",
       "      <td>35.999001</td>\n",
       "      <td>36.143002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>48.089001</td>\n",
       "      <td>47.698002</td>\n",
       "      <td>47.216999</td>\n",
       "      <td>47.825001</td>\n",
       "      <td>48.528000</td>\n",
       "      <td>48.629002</td>\n",
       "      <td>48.632999</td>\n",
       "      <td>47.764999</td>\n",
       "      <td>49.626999</td>\n",
       "      <td>49.529999</td>\n",
       "      <td>49.416000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>42.604000</td>\n",
       "      <td>43.763000</td>\n",
       "      <td>43.004002</td>\n",
       "      <td>43.202999</td>\n",
       "      <td>43.404999</td>\n",
       "      <td>43.615002</td>\n",
       "      <td>43.800999</td>\n",
       "      <td>44.011002</td>\n",
       "      <td>44.352001</td>\n",
       "      <td>44.473000</td>\n",
       "      <td>44.612999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Bahamas, The</td>\n",
       "      <td>68.639999</td>\n",
       "      <td>68.742996</td>\n",
       "      <td>68.555000</td>\n",
       "      <td>68.616997</td>\n",
       "      <td>68.436996</td>\n",
       "      <td>68.180000</td>\n",
       "      <td>67.744003</td>\n",
       "      <td>67.530998</td>\n",
       "      <td>67.527000</td>\n",
       "      <td>67.568001</td>\n",
       "      <td>67.540001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>37.223999</td>\n",
       "      <td>37.063999</td>\n",
       "      <td>36.837002</td>\n",
       "      <td>36.547001</td>\n",
       "      <td>36.273998</td>\n",
       "      <td>35.972000</td>\n",
       "      <td>35.667000</td>\n",
       "      <td>35.258999</td>\n",
       "      <td>35.726002</td>\n",
       "      <td>35.627998</td>\n",
       "      <td>35.521000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>57.152000</td>\n",
       "      <td>57.540001</td>\n",
       "      <td>57.861000</td>\n",
       "      <td>58.136002</td>\n",
       "      <td>58.358002</td>\n",
       "      <td>58.527000</td>\n",
       "      <td>58.641998</td>\n",
       "      <td>58.665001</td>\n",
       "      <td>58.395000</td>\n",
       "      <td>58.126999</td>\n",
       "      <td>57.827000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Belize</td>\n",
       "      <td>50.747002</td>\n",
       "      <td>51.938000</td>\n",
       "      <td>53.235001</td>\n",
       "      <td>54.527000</td>\n",
       "      <td>53.701000</td>\n",
       "      <td>52.930000</td>\n",
       "      <td>52.212002</td>\n",
       "      <td>52.768002</td>\n",
       "      <td>52.924999</td>\n",
       "      <td>53.280998</td>\n",
       "      <td>53.648998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>62.367001</td>\n",
       "      <td>62.019001</td>\n",
       "      <td>61.651001</td>\n",
       "      <td>57.944000</td>\n",
       "      <td>58.820999</td>\n",
       "      <td>60.900002</td>\n",
       "      <td>54.508999</td>\n",
       "      <td>60.321999</td>\n",
       "      <td>56.585999</td>\n",
       "      <td>56.595001</td>\n",
       "      <td>56.611000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>54.966000</td>\n",
       "      <td>53.576000</td>\n",
       "      <td>52.173000</td>\n",
       "      <td>53.077999</td>\n",
       "      <td>52.976002</td>\n",
       "      <td>52.860001</td>\n",
       "      <td>53.377998</td>\n",
       "      <td>53.320999</td>\n",
       "      <td>54.167999</td>\n",
       "      <td>54.029999</td>\n",
       "      <td>53.882000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>63.606998</td>\n",
       "      <td>63.492001</td>\n",
       "      <td>63.287998</td>\n",
       "      <td>62.061001</td>\n",
       "      <td>63.230999</td>\n",
       "      <td>61.855999</td>\n",
       "      <td>61.860001</td>\n",
       "      <td>62.568001</td>\n",
       "      <td>62.234001</td>\n",
       "      <td>61.894001</td>\n",
       "      <td>61.528000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Brunei Darussalam</td>\n",
       "      <td>56.659000</td>\n",
       "      <td>56.928001</td>\n",
       "      <td>57.191002</td>\n",
       "      <td>57.416000</td>\n",
       "      <td>57.618000</td>\n",
       "      <td>57.810001</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.188000</td>\n",
       "      <td>58.362000</td>\n",
       "      <td>58.220001</td>\n",
       "      <td>58.071999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Bhutan</td>\n",
       "      <td>67.111000</td>\n",
       "      <td>64.556999</td>\n",
       "      <td>62.270000</td>\n",
       "      <td>63.502998</td>\n",
       "      <td>58.187000</td>\n",
       "      <td>54.931000</td>\n",
       "      <td>57.764999</td>\n",
       "      <td>57.895000</td>\n",
       "      <td>57.979000</td>\n",
       "      <td>58.202999</td>\n",
       "      <td>58.389000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>56.265999</td>\n",
       "      <td>53.546001</td>\n",
       "      <td>57.425999</td>\n",
       "      <td>61.106998</td>\n",
       "      <td>64.554001</td>\n",
       "      <td>64.907997</td>\n",
       "      <td>65.231003</td>\n",
       "      <td>65.524002</td>\n",
       "      <td>65.836998</td>\n",
       "      <td>66.192001</td>\n",
       "      <td>66.519997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>65.655998</td>\n",
       "      <td>65.663002</td>\n",
       "      <td>65.505997</td>\n",
       "      <td>65.321999</td>\n",
       "      <td>65.056000</td>\n",
       "      <td>64.838997</td>\n",
       "      <td>64.625000</td>\n",
       "      <td>64.691002</td>\n",
       "      <td>64.791000</td>\n",
       "      <td>64.723999</td>\n",
       "      <td>64.667000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Canada</td>\n",
       "      <td>61.874001</td>\n",
       "      <td>61.858002</td>\n",
       "      <td>61.601002</td>\n",
       "      <td>61.612000</td>\n",
       "      <td>61.683998</td>\n",
       "      <td>61.087002</td>\n",
       "      <td>60.770000</td>\n",
       "      <td>60.806999</td>\n",
       "      <td>61.015999</td>\n",
       "      <td>60.846001</td>\n",
       "      <td>60.658001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Central Europe and the Baltics</td>\n",
       "      <td>47.557086</td>\n",
       "      <td>47.988688</td>\n",
       "      <td>47.890527</td>\n",
       "      <td>48.313518</td>\n",
       "      <td>48.408511</td>\n",
       "      <td>48.811783</td>\n",
       "      <td>48.818785</td>\n",
       "      <td>48.807143</td>\n",
       "      <td>49.423060</td>\n",
       "      <td>49.226387</td>\n",
       "      <td>49.018014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>64.795998</td>\n",
       "      <td>63.848999</td>\n",
       "      <td>65.963997</td>\n",
       "      <td>65.171997</td>\n",
       "      <td>62.443001</td>\n",
       "      <td>61.446999</td>\n",
       "      <td>60.957001</td>\n",
       "      <td>60.061001</td>\n",
       "      <td>59.761002</td>\n",
       "      <td>59.465000</td>\n",
       "      <td>59.150002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>29.667999</td>\n",
       "      <td>29.502001</td>\n",
       "      <td>29.261000</td>\n",
       "      <td>28.990999</td>\n",
       "      <td>28.712999</td>\n",
       "      <td>28.476000</td>\n",
       "      <td>28.291000</td>\n",
       "      <td>28.084999</td>\n",
       "      <td>27.886999</td>\n",
       "      <td>27.794001</td>\n",
       "      <td>27.684999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>Turkmenistan</td>\n",
       "      <td>52.314999</td>\n",
       "      <td>52.418999</td>\n",
       "      <td>52.530998</td>\n",
       "      <td>52.680000</td>\n",
       "      <td>52.830002</td>\n",
       "      <td>52.938999</td>\n",
       "      <td>52.994999</td>\n",
       "      <td>52.986000</td>\n",
       "      <td>52.926998</td>\n",
       "      <td>52.789001</td>\n",
       "      <td>52.633999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>Latin America &amp; the Caribbean (IDA &amp; IBRD coun...</td>\n",
       "      <td>51.629659</td>\n",
       "      <td>51.185245</td>\n",
       "      <td>50.864398</td>\n",
       "      <td>51.698867</td>\n",
       "      <td>51.559410</td>\n",
       "      <td>51.260341</td>\n",
       "      <td>51.521785</td>\n",
       "      <td>51.721148</td>\n",
       "      <td>52.035162</td>\n",
       "      <td>52.052128</td>\n",
       "      <td>52.059513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Timor-Leste</td>\n",
       "      <td>27.209000</td>\n",
       "      <td>26.469000</td>\n",
       "      <td>26.180000</td>\n",
       "      <td>25.913000</td>\n",
       "      <td>25.681000</td>\n",
       "      <td>25.450001</td>\n",
       "      <td>25.270000</td>\n",
       "      <td>25.160000</td>\n",
       "      <td>25.202000</td>\n",
       "      <td>25.034000</td>\n",
       "      <td>24.851000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>Middle East &amp; North Africa (IDA &amp; IBRD countries)</td>\n",
       "      <td>18.371887</td>\n",
       "      <td>18.220439</td>\n",
       "      <td>17.979422</td>\n",
       "      <td>17.871078</td>\n",
       "      <td>17.951179</td>\n",
       "      <td>17.612709</td>\n",
       "      <td>17.575307</td>\n",
       "      <td>18.002983</td>\n",
       "      <td>17.846133</td>\n",
       "      <td>17.801293</td>\n",
       "      <td>17.738633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>Tonga</td>\n",
       "      <td>45.432999</td>\n",
       "      <td>45.334999</td>\n",
       "      <td>45.306999</td>\n",
       "      <td>45.316002</td>\n",
       "      <td>45.358002</td>\n",
       "      <td>45.323002</td>\n",
       "      <td>45.230000</td>\n",
       "      <td>45.244999</td>\n",
       "      <td>45.251999</td>\n",
       "      <td>45.250000</td>\n",
       "      <td>45.209999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>South Asia (IDA &amp; IBRD)</td>\n",
       "      <td>27.832411</td>\n",
       "      <td>27.050263</td>\n",
       "      <td>26.050446</td>\n",
       "      <td>25.082699</td>\n",
       "      <td>25.354484</td>\n",
       "      <td>25.580315</td>\n",
       "      <td>25.875504</td>\n",
       "      <td>26.062319</td>\n",
       "      <td>26.460767</td>\n",
       "      <td>26.371171</td>\n",
       "      <td>26.278402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Sub-Saharan Africa (IDA &amp; IBRD countries)</td>\n",
       "      <td>61.260450</td>\n",
       "      <td>60.996748</td>\n",
       "      <td>60.923675</td>\n",
       "      <td>60.850175</td>\n",
       "      <td>60.929255</td>\n",
       "      <td>60.901829</td>\n",
       "      <td>61.045061</td>\n",
       "      <td>61.152641</td>\n",
       "      <td>61.363740</td>\n",
       "      <td>61.381375</td>\n",
       "      <td>61.395935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>51.660999</td>\n",
       "      <td>51.025002</td>\n",
       "      <td>50.359001</td>\n",
       "      <td>51.640999</td>\n",
       "      <td>51.896000</td>\n",
       "      <td>52.256001</td>\n",
       "      <td>50.848999</td>\n",
       "      <td>51.210999</td>\n",
       "      <td>50.511002</td>\n",
       "      <td>50.354000</td>\n",
       "      <td>50.147999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>24.385000</td>\n",
       "      <td>24.459999</td>\n",
       "      <td>24.445999</td>\n",
       "      <td>25.245001</td>\n",
       "      <td>25.143000</td>\n",
       "      <td>24.933001</td>\n",
       "      <td>24.726999</td>\n",
       "      <td>24.468000</td>\n",
       "      <td>24.226000</td>\n",
       "      <td>24.080000</td>\n",
       "      <td>23.909000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>25.478001</td>\n",
       "      <td>27.033001</td>\n",
       "      <td>28.323000</td>\n",
       "      <td>28.879000</td>\n",
       "      <td>30.101999</td>\n",
       "      <td>30.243000</td>\n",
       "      <td>31.475000</td>\n",
       "      <td>32.507000</td>\n",
       "      <td>33.571999</td>\n",
       "      <td>33.520000</td>\n",
       "      <td>33.458000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>84.781998</td>\n",
       "      <td>83.900002</td>\n",
       "      <td>82.952003</td>\n",
       "      <td>81.917000</td>\n",
       "      <td>80.780998</td>\n",
       "      <td>79.533997</td>\n",
       "      <td>79.553001</td>\n",
       "      <td>79.570000</td>\n",
       "      <td>79.577003</td>\n",
       "      <td>79.389000</td>\n",
       "      <td>79.203003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>65.688004</td>\n",
       "      <td>65.876999</td>\n",
       "      <td>66.081001</td>\n",
       "      <td>66.291000</td>\n",
       "      <td>66.430000</td>\n",
       "      <td>66.582001</td>\n",
       "      <td>66.744003</td>\n",
       "      <td>66.885002</td>\n",
       "      <td>67.037003</td>\n",
       "      <td>67.151001</td>\n",
       "      <td>67.269997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Ukraine</td>\n",
       "      <td>48.445000</td>\n",
       "      <td>48.410000</td>\n",
       "      <td>48.250999</td>\n",
       "      <td>47.485001</td>\n",
       "      <td>48.376999</td>\n",
       "      <td>47.040001</td>\n",
       "      <td>47.360001</td>\n",
       "      <td>47.075001</td>\n",
       "      <td>46.938000</td>\n",
       "      <td>46.679001</td>\n",
       "      <td>46.396999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>56.201803</td>\n",
       "      <td>55.670890</td>\n",
       "      <td>55.570200</td>\n",
       "      <td>55.603981</td>\n",
       "      <td>55.382775</td>\n",
       "      <td>55.061678</td>\n",
       "      <td>54.994629</td>\n",
       "      <td>54.828160</td>\n",
       "      <td>54.693724</td>\n",
       "      <td>54.296955</td>\n",
       "      <td>53.875677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>55.616001</td>\n",
       "      <td>55.334000</td>\n",
       "      <td>55.978001</td>\n",
       "      <td>55.787998</td>\n",
       "      <td>54.973999</td>\n",
       "      <td>55.965000</td>\n",
       "      <td>55.724998</td>\n",
       "      <td>55.926998</td>\n",
       "      <td>55.597000</td>\n",
       "      <td>55.771000</td>\n",
       "      <td>55.931000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>United States</td>\n",
       "      <td>58.144001</td>\n",
       "      <td>57.501999</td>\n",
       "      <td>56.930000</td>\n",
       "      <td>56.701000</td>\n",
       "      <td>56.292000</td>\n",
       "      <td>56.111000</td>\n",
       "      <td>55.834000</td>\n",
       "      <td>55.993999</td>\n",
       "      <td>56.313000</td>\n",
       "      <td>56.047001</td>\n",
       "      <td>55.778000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>52.606998</td>\n",
       "      <td>52.736000</td>\n",
       "      <td>52.865002</td>\n",
       "      <td>52.997002</td>\n",
       "      <td>53.129002</td>\n",
       "      <td>53.244999</td>\n",
       "      <td>53.327999</td>\n",
       "      <td>53.377998</td>\n",
       "      <td>53.419998</td>\n",
       "      <td>53.412998</td>\n",
       "      <td>53.355999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>St. Vincent and the Grenadines</td>\n",
       "      <td>56.441002</td>\n",
       "      <td>56.416000</td>\n",
       "      <td>56.487000</td>\n",
       "      <td>56.708000</td>\n",
       "      <td>56.938999</td>\n",
       "      <td>57.042999</td>\n",
       "      <td>57.071999</td>\n",
       "      <td>57.206001</td>\n",
       "      <td>57.195999</td>\n",
       "      <td>57.278999</td>\n",
       "      <td>57.313999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Venezuela, RB</td>\n",
       "      <td>51.095001</td>\n",
       "      <td>50.619999</td>\n",
       "      <td>50.995998</td>\n",
       "      <td>50.584000</td>\n",
       "      <td>50.773998</td>\n",
       "      <td>50.542000</td>\n",
       "      <td>50.122002</td>\n",
       "      <td>48.775002</td>\n",
       "      <td>47.694000</td>\n",
       "      <td>47.743000</td>\n",
       "      <td>47.783001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Virgin Islands (U.S.)</td>\n",
       "      <td>58.008999</td>\n",
       "      <td>57.865002</td>\n",
       "      <td>57.429001</td>\n",
       "      <td>56.706001</td>\n",
       "      <td>56.375999</td>\n",
       "      <td>56.105999</td>\n",
       "      <td>55.855000</td>\n",
       "      <td>55.743000</td>\n",
       "      <td>55.769001</td>\n",
       "      <td>55.617001</td>\n",
       "      <td>55.433998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>71.398003</td>\n",
       "      <td>71.305000</td>\n",
       "      <td>71.459999</td>\n",
       "      <td>71.969002</td>\n",
       "      <td>72.902000</td>\n",
       "      <td>73.195000</td>\n",
       "      <td>72.945999</td>\n",
       "      <td>72.642998</td>\n",
       "      <td>72.697998</td>\n",
       "      <td>72.649002</td>\n",
       "      <td>72.541000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>61.069000</td>\n",
       "      <td>61.241001</td>\n",
       "      <td>61.323002</td>\n",
       "      <td>61.354000</td>\n",
       "      <td>61.379002</td>\n",
       "      <td>61.411999</td>\n",
       "      <td>61.584999</td>\n",
       "      <td>61.528000</td>\n",
       "      <td>61.484001</td>\n",
       "      <td>61.507999</td>\n",
       "      <td>61.533001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>World</td>\n",
       "      <td>49.091606</td>\n",
       "      <td>48.677926</td>\n",
       "      <td>48.363017</td>\n",
       "      <td>48.164190</td>\n",
       "      <td>48.114513</td>\n",
       "      <td>48.033072</td>\n",
       "      <td>48.025554</td>\n",
       "      <td>48.027061</td>\n",
       "      <td>48.089157</td>\n",
       "      <td>47.883420</td>\n",
       "      <td>47.662671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>Samoa</td>\n",
       "      <td>24.337999</td>\n",
       "      <td>24.301001</td>\n",
       "      <td>24.173000</td>\n",
       "      <td>24.118000</td>\n",
       "      <td>24.091000</td>\n",
       "      <td>24.011999</td>\n",
       "      <td>23.916000</td>\n",
       "      <td>23.799000</td>\n",
       "      <td>23.740000</td>\n",
       "      <td>23.674999</td>\n",
       "      <td>23.587999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>10.798000</td>\n",
       "      <td>10.049000</td>\n",
       "      <td>8.848000</td>\n",
       "      <td>7.799000</td>\n",
       "      <td>6.884000</td>\n",
       "      <td>6.083000</td>\n",
       "      <td>6.106000</td>\n",
       "      <td>6.117000</td>\n",
       "      <td>6.138000</td>\n",
       "      <td>5.983000</td>\n",
       "      <td>5.827000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>46.286999</td>\n",
       "      <td>44.728001</td>\n",
       "      <td>45.198002</td>\n",
       "      <td>45.418999</td>\n",
       "      <td>46.387001</td>\n",
       "      <td>46.612000</td>\n",
       "      <td>47.801998</td>\n",
       "      <td>47.797001</td>\n",
       "      <td>48.922001</td>\n",
       "      <td>48.848999</td>\n",
       "      <td>48.768002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>71.610001</td>\n",
       "      <td>71.059998</td>\n",
       "      <td>70.542999</td>\n",
       "      <td>70.021004</td>\n",
       "      <td>70.155998</td>\n",
       "      <td>70.295998</td>\n",
       "      <td>70.445000</td>\n",
       "      <td>70.585999</td>\n",
       "      <td>70.733002</td>\n",
       "      <td>70.752998</td>\n",
       "      <td>70.785004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>77.295998</td>\n",
       "      <td>77.362000</td>\n",
       "      <td>77.492996</td>\n",
       "      <td>77.649002</td>\n",
       "      <td>77.796997</td>\n",
       "      <td>77.935997</td>\n",
       "      <td>78.069000</td>\n",
       "      <td>78.219002</td>\n",
       "      <td>78.387001</td>\n",
       "      <td>78.568001</td>\n",
       "      <td>78.733002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>233 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               country       2009       2010  \\\n",
       "1                                          Afghanistan  42.709000  42.735001   \n",
       "2                                               Angola  75.255997  75.306999   \n",
       "3                                              Albania  44.945000  45.693001   \n",
       "5                                           Arab World  20.052651  20.169026   \n",
       "6                                 United Arab Emirates  42.514999  44.028999   \n",
       "7                                            Argentina  48.823002  47.833000   \n",
       "8                                              Armenia  48.299000  49.587002   \n",
       "11                                           Australia  58.821999  58.706001   \n",
       "12                                             Austria  53.373001  53.507000   \n",
       "13                                          Azerbaijan  59.617001  60.223000   \n",
       "14                                             Burundi  80.610001  80.349998   \n",
       "15                                             Belgium  46.745998  47.488998   \n",
       "16                                               Benin  68.933998  69.223999   \n",
       "17                                        Burkina Faso  60.092999  59.717999   \n",
       "18                                          Bangladesh  29.382000  29.882999   \n",
       "19                                            Bulgaria  48.089001  47.698002   \n",
       "20                                             Bahrain  42.604000  43.763000   \n",
       "21                                        Bahamas, The  68.639999  68.742996   \n",
       "22                              Bosnia and Herzegovina  37.223999  37.063999   \n",
       "23                                             Belarus  57.152000  57.540001   \n",
       "24                                              Belize  50.747002  51.938000   \n",
       "26                                             Bolivia  62.367001  62.019001   \n",
       "27                                              Brazil  54.966000  53.576000   \n",
       "28                                            Barbados  63.606998  63.492001   \n",
       "29                                   Brunei Darussalam  56.659000  56.928001   \n",
       "30                                              Bhutan  67.111000  64.556999   \n",
       "31                                            Botswana  56.265999  53.546001   \n",
       "32                            Central African Republic  65.655998  65.663002   \n",
       "33                                              Canada  61.874001  61.858002   \n",
       "34                      Central Europe and the Baltics  47.557086  47.988688   \n",
       "..                                                 ...        ...        ...   \n",
       "231                                           Thailand  64.795998  63.848999   \n",
       "232                                         Tajikistan  29.667999  29.502001   \n",
       "233                                       Turkmenistan  52.314999  52.418999   \n",
       "234  Latin America & the Caribbean (IDA & IBRD coun...  51.629659  51.185245   \n",
       "235                                        Timor-Leste  27.209000  26.469000   \n",
       "236  Middle East & North Africa (IDA & IBRD countries)  18.371887  18.220439   \n",
       "237                                              Tonga  45.432999  45.334999   \n",
       "238                            South Asia (IDA & IBRD)  27.832411  27.050263   \n",
       "239          Sub-Saharan Africa (IDA & IBRD countries)  61.260450  60.996748   \n",
       "240                                Trinidad and Tobago  51.660999  51.025002   \n",
       "241                                            Tunisia  24.385000  24.459999   \n",
       "242                                             Turkey  25.478001  27.033001   \n",
       "244                                           Tanzania  84.781998  83.900002   \n",
       "245                                             Uganda  65.688004  65.876999   \n",
       "246                                            Ukraine  48.445000  48.410000   \n",
       "247                                Upper middle income  56.201803  55.670890   \n",
       "248                                            Uruguay  55.616001  55.334000   \n",
       "249                                      United States  58.144001  57.501999   \n",
       "250                                         Uzbekistan  52.606998  52.736000   \n",
       "251                     St. Vincent and the Grenadines  56.441002  56.416000   \n",
       "252                                      Venezuela, RB  51.095001  50.619999   \n",
       "254                              Virgin Islands (U.S.)  58.008999  57.865002   \n",
       "255                                            Vietnam  71.398003  71.305000   \n",
       "256                                            Vanuatu  61.069000  61.241001   \n",
       "257                                              World  49.091606  48.677926   \n",
       "258                                              Samoa  24.337999  24.301001   \n",
       "260                                        Yemen, Rep.  10.798000  10.049000   \n",
       "261                                       South Africa  46.286999  44.728001   \n",
       "262                                             Zambia  71.610001  71.059998   \n",
       "263                                           Zimbabwe  77.295998  77.362000   \n",
       "\n",
       "          2011       2012       2013       2014       2015       2016  \\\n",
       "1    43.327999  44.117001  45.039001  46.016998  47.000999  47.765999   \n",
       "2    75.344002  75.389000  75.432999  75.464996  75.478996  75.470001   \n",
       "3    47.104000  48.806000  44.650002  44.789001  47.675999  47.459000   \n",
       "5    20.268955  20.453085  20.753035  20.686165  20.492409  20.589288   \n",
       "6    45.143002  46.213001  47.263000  48.323002  49.396000  50.161999   \n",
       "7    48.102001  48.188000  47.790001  47.157001  47.825001  48.480000   \n",
       "8    52.091999  51.969002  52.631001  51.946999  51.166000  49.441002   \n",
       "11   58.952000  58.826000  58.707001  58.648998  59.066002  59.247002   \n",
       "12   53.839001  54.337002  54.598999  54.562000  54.535999  54.945999   \n",
       "13   60.813999  61.104000  61.323002  61.923000  62.516998  62.963001   \n",
       "14   80.112000  79.917999  79.748001  79.573998  79.844002  80.079002   \n",
       "15   46.805000  46.889000  47.594002  48.011002  48.023998  47.765999   \n",
       "16   68.088997  68.207001  68.351997  68.512001  68.680000  68.835999   \n",
       "17   59.341000  58.971001  58.606998  58.249001  58.375999  58.497002   \n",
       "18   30.371000  30.864000  31.364000  31.871000  32.383999  32.889999   \n",
       "19   47.216999  47.825001  48.528000  48.629002  48.632999  47.764999   \n",
       "20   43.004002  43.202999  43.404999  43.615002  43.800999  44.011002   \n",
       "21   68.555000  68.616997  68.436996  68.180000  67.744003  67.530998   \n",
       "22   36.837002  36.547001  36.273998  35.972000  35.667000  35.258999   \n",
       "23   57.861000  58.136002  58.358002  58.527000  58.641998  58.665001   \n",
       "24   53.235001  54.527000  53.701000  52.930000  52.212002  52.768002   \n",
       "26   61.651001  57.944000  58.820999  60.900002  54.508999  60.321999   \n",
       "27   52.173000  53.077999  52.976002  52.860001  53.377998  53.320999   \n",
       "28   63.287998  62.061001  63.230999  61.855999  61.860001  62.568001   \n",
       "29   57.191002  57.416000  57.618000  57.810001  58.000000  58.188000   \n",
       "30   62.270000  63.502998  58.187000  54.931000  57.764999  57.895000   \n",
       "31   57.425999  61.106998  64.554001  64.907997  65.231003  65.524002   \n",
       "32   65.505997  65.321999  65.056000  64.838997  64.625000  64.691002   \n",
       "33   61.601002  61.612000  61.683998  61.087002  60.770000  60.806999   \n",
       "34   47.890527  48.313518  48.408511  48.811783  48.818785  48.807143   \n",
       "..         ...        ...        ...        ...        ...        ...   \n",
       "231  65.963997  65.171997  62.443001  61.446999  60.957001  60.061001   \n",
       "232  29.261000  28.990999  28.712999  28.476000  28.291000  28.084999   \n",
       "233  52.530998  52.680000  52.830002  52.938999  52.994999  52.986000   \n",
       "234  50.864398  51.698867  51.559410  51.260341  51.521785  51.721148   \n",
       "235  26.180000  25.913000  25.681000  25.450001  25.270000  25.160000   \n",
       "236  17.979422  17.871078  17.951179  17.612709  17.575307  18.002983   \n",
       "237  45.306999  45.316002  45.358002  45.323002  45.230000  45.244999   \n",
       "238  26.050446  25.082699  25.354484  25.580315  25.875504  26.062319   \n",
       "239  60.923675  60.850175  60.929255  60.901829  61.045061  61.152641   \n",
       "240  50.359001  51.640999  51.896000  52.256001  50.848999  51.210999   \n",
       "241  24.445999  25.245001  25.143000  24.933001  24.726999  24.468000   \n",
       "242  28.323000  28.879000  30.101999  30.243000  31.475000  32.507000   \n",
       "244  82.952003  81.917000  80.780998  79.533997  79.553001  79.570000   \n",
       "245  66.081001  66.291000  66.430000  66.582001  66.744003  66.885002   \n",
       "246  48.250999  47.485001  48.376999  47.040001  47.360001  47.075001   \n",
       "247  55.570200  55.603981  55.382775  55.061678  54.994629  54.828160   \n",
       "248  55.978001  55.787998  54.973999  55.965000  55.724998  55.926998   \n",
       "249  56.930000  56.701000  56.292000  56.111000  55.834000  55.993999   \n",
       "250  52.865002  52.997002  53.129002  53.244999  53.327999  53.377998   \n",
       "251  56.487000  56.708000  56.938999  57.042999  57.071999  57.206001   \n",
       "252  50.995998  50.584000  50.773998  50.542000  50.122002  48.775002   \n",
       "254  57.429001  56.706001  56.375999  56.105999  55.855000  55.743000   \n",
       "255  71.459999  71.969002  72.902000  73.195000  72.945999  72.642998   \n",
       "256  61.323002  61.354000  61.379002  61.411999  61.584999  61.528000   \n",
       "257  48.363017  48.164190  48.114513  48.033072  48.025554  48.027061   \n",
       "258  24.173000  24.118000  24.091000  24.011999  23.916000  23.799000   \n",
       "260   8.848000   7.799000   6.884000   6.083000   6.106000   6.117000   \n",
       "261  45.198002  45.418999  46.387001  46.612000  47.801998  47.797001   \n",
       "262  70.542999  70.021004  70.155998  70.295998  70.445000  70.585999   \n",
       "263  77.492996  77.649002  77.796997  77.935997  78.069000  78.219002   \n",
       "\n",
       "          2017       2018       2019  \n",
       "1    48.473999  48.660000  48.848999  \n",
       "2    75.450996  75.412003  75.372002  \n",
       "3    47.312000  47.191002  47.081001  \n",
       "5    20.536024  20.537448  20.525228  \n",
       "6    51.266998  51.148998  51.067001  \n",
       "7    49.118000  48.966999  48.813999  \n",
       "8    49.419998  49.575001  49.674000  \n",
       "11   59.693001  59.645000  59.591000  \n",
       "12   54.868999  54.826000  54.745998  \n",
       "13   63.262001  63.112999  62.916000  \n",
       "14   80.286003  80.348999  80.363998  \n",
       "15   47.891998  47.889000  47.867001  \n",
       "16   69.016998  69.176002  69.334999  \n",
       "17   58.626999  58.462002  58.292000  \n",
       "18   35.852001  35.999001  36.143002  \n",
       "19   49.626999  49.529999  49.416000  \n",
       "20   44.352001  44.473000  44.612999  \n",
       "21   67.527000  67.568001  67.540001  \n",
       "22   35.726002  35.627998  35.521000  \n",
       "23   58.395000  58.126999  57.827000  \n",
       "24   52.924999  53.280998  53.648998  \n",
       "26   56.585999  56.595001  56.611000  \n",
       "27   54.167999  54.029999  53.882000  \n",
       "28   62.234001  61.894001  61.528000  \n",
       "29   58.362000  58.220001  58.071999  \n",
       "30   57.979000  58.202999  58.389000  \n",
       "31   65.836998  66.192001  66.519997  \n",
       "32   64.791000  64.723999  64.667000  \n",
       "33   61.015999  60.846001  60.658001  \n",
       "34   49.423060  49.226387  49.018014  \n",
       "..         ...        ...        ...  \n",
       "231  59.761002  59.465000  59.150002  \n",
       "232  27.886999  27.794001  27.684999  \n",
       "233  52.926998  52.789001  52.633999  \n",
       "234  52.035162  52.052128  52.059513  \n",
       "235  25.202000  25.034000  24.851000  \n",
       "236  17.846133  17.801293  17.738633  \n",
       "237  45.251999  45.250000  45.209999  \n",
       "238  26.460767  26.371171  26.278402  \n",
       "239  61.363740  61.381375  61.395935  \n",
       "240  50.511002  50.354000  50.147999  \n",
       "241  24.226000  24.080000  23.909000  \n",
       "242  33.571999  33.520000  33.458000  \n",
       "244  79.577003  79.389000  79.203003  \n",
       "245  67.037003  67.151001  67.269997  \n",
       "246  46.938000  46.679001  46.396999  \n",
       "247  54.693724  54.296955  53.875677  \n",
       "248  55.597000  55.771000  55.931000  \n",
       "249  56.313000  56.047001  55.778000  \n",
       "250  53.419998  53.412998  53.355999  \n",
       "251  57.195999  57.278999  57.313999  \n",
       "252  47.694000  47.743000  47.783001  \n",
       "254  55.769001  55.617001  55.433998  \n",
       "255  72.697998  72.649002  72.541000  \n",
       "256  61.484001  61.507999  61.533001  \n",
       "257  48.089157  47.883420  47.662671  \n",
       "258  23.740000  23.674999  23.587999  \n",
       "260   6.138000   5.983000   5.827000  \n",
       "261  48.922001  48.848999  48.768002  \n",
       "262  70.733002  70.752998  70.785004  \n",
       "263  78.387001  78.568001  78.733002  \n",
       "\n",
       "[233 rows x 12 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfa1 =dfa.dropna(axis=0,how='any') \n",
    "dfa1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Afghanistan', 'Angola', 'Albania', 'Arab World', 'United Arab Emirates', 'Argentina', 'Armenia', 'Australia', 'Austria', 'Azerbaijan', 'Burundi', 'Belgium', 'Benin', 'Burkina Faso', 'Bangladesh', 'Bulgaria', 'Bahrain', 'Bahamas, The', 'Bosnia and Herzegovina', 'Belarus', 'Belize', 'Bolivia', 'Brazil', 'Barbados', 'Brunei Darussalam', 'Bhutan', 'Botswana', 'Central African Republic', 'Canada', 'Central Europe and the Baltics', 'Switzerland', 'Channel Islands', 'Chile', 'China', \"Cote d'Ivoire\", 'Cameroon', 'Congo, Dem. Rep.', 'Congo, Rep.', 'Colombia', 'Comoros', 'Cabo Verde', 'Costa Rica', 'Caribbean small states', 'Cuba', 'Cyprus', 'Czech Republic', 'Germany', 'Djibouti', 'Denmark', 'Dominican Republic', 'Algeria', 'East Asia & Pacific (excluding high income)', 'Early-demographic dividend', 'East Asia & Pacific', 'Europe & Central Asia (excluding high income)', 'Europe & Central Asia', 'Ecuador', 'Egypt, Arab Rep.', 'Euro area', 'Eritrea', 'Spain', 'Estonia', 'Ethiopia', 'European Union', 'Fragile and conflict affected situations', 'Finland', 'Fiji', 'France', 'Gabon', 'United Kingdom', 'Georgia', 'Ghana', 'Guinea', 'Gambia, The', 'Guinea-Bissau', 'Equatorial Guinea', 'Greece', 'Guatemala', 'Guam', 'Guyana', 'High income', 'Hong Kong SAR, China', 'Honduras', 'Heavily indebted poor countries (HIPC)', 'Croatia', 'Haiti', 'Hungary', 'IBRD only', 'IDA & IBRD total', 'IDA total', 'IDA blend', 'Indonesia', 'IDA only', 'India', 'Ireland', 'Iran, Islamic Rep.', 'Iraq', 'Iceland', 'Israel', 'Italy', 'Jamaica', 'Jordan', 'Japan', 'Kazakhstan', 'Kenya', 'Kyrgyz Republic', 'Cambodia', 'Korea, Rep.', 'Kuwait', 'Latin America & Caribbean (excluding high income)', 'Lao PDR', 'Lebanon', 'Liberia', 'Libya', 'St. Lucia', 'Latin America & Caribbean', 'Least developed countries: UN classification', 'Low income', 'Sri Lanka', 'Lower middle income', 'Low & middle income', 'Lesotho', 'Late-demographic dividend', 'Lithuania', 'Luxembourg', 'Latvia', 'Macao SAR, China', 'Morocco', 'Moldova', 'Madagascar', 'Maldives', 'Middle East & North Africa', 'Mexico', 'Middle income', 'North Macedonia', 'Mali', 'Malta', 'Myanmar', 'Middle East & North Africa (excluding high income)', 'Montenegro', 'Mongolia', 'Mozambique', 'Mauritania', 'Mauritius', 'Malawi', 'Malaysia', 'North America', 'Namibia', 'New Caledonia', 'Niger', 'Nigeria', 'Nicaragua', 'Netherlands', 'Norway', 'Nepal', 'New Zealand', 'OECD members', 'Oman', 'Other small states', 'Pakistan', 'Panama', 'Peru', 'Philippines', 'Papua New Guinea', 'Poland', 'Pre-demographic dividend', 'Puerto Rico', 'Korea, Dem. People鈥檚 Rep.', 'Portugal', 'Paraguay', 'West Bank and Gaza', 'Pacific island small states', 'Post-demographic dividend', 'French Polynesia', 'Qatar', 'Romania', 'Russian Federation', 'Rwanda', 'South Asia', 'Saudi Arabia', 'Sudan', 'Senegal', 'Singapore', 'Solomon Islands', 'Sierra Leone', 'El Salvador', 'Somalia', 'Serbia', 'Sub-Saharan Africa (excluding high income)', 'South Sudan', 'Sub-Saharan Africa', 'Small states', 'Sao Tome and Principe', 'Suriname', 'Slovak Republic', 'Slovenia', 'Sweden', 'Eswatini', 'Syrian Arab Republic', 'Chad', 'East Asia & Pacific (IDA & IBRD countries)', 'Europe & Central Asia (IDA & IBRD countries)', 'Togo', 'Thailand', 'Tajikistan', 'Turkmenistan', 'Latin America & the Caribbean (IDA & IBRD countries)', 'Timor-Leste', 'Middle East & North Africa (IDA & IBRD countries)', 'Tonga', 'South Asia (IDA & IBRD)', 'Sub-Saharan Africa (IDA & IBRD countries)', 'Trinidad and Tobago', 'Tunisia', 'Turkey', 'Tanzania', 'Uganda', 'Ukraine', 'Upper middle income', 'Uruguay', 'United States', 'Uzbekistan', 'St. Vincent and the Grenadines', 'Venezuela, RB', 'Virgin Islands (U.S.)', 'Vietnam', 'Vanuatu', 'World', 'Samoa', 'Yemen, Rep.', 'South Africa', 'Zambia', 'Zimbabwe']\n"
     ]
    }
   ],
   "source": [
    "dfa2=print(list(dfa1.country))\n",
    "dfa2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x轴 = [int(x)for x in dfa.columns.values[-11:]]\n",
    "x轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'the label [China] is not in the [index]'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1789\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1790\u001b[1;33m                     \u001b[0merror\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1791\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36merror\u001b[1;34m()\u001b[0m\n\u001b[0;32m   1784\u001b[0m                                .format(key=key,\n\u001b[1;32m-> 1785\u001b[1;33m                                        axis=self.obj._get_axis_name(axis)))\n\u001b[0m\u001b[0;32m   1786\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'the label [China] is not in the [index]'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-2e17de76a25a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0m中国\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdfa\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'China'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m11\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0m中国\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   1476\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1477\u001b[0m             \u001b[0mmaybe_callable\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_apply_if_callable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1478\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmaybe_callable\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1479\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1480\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_is_scalar_access\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_getitem_axis\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1909\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1910\u001b[0m         \u001b[1;31m# fall thru to straight lookup\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1911\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1912\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1913\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1796\u001b[0m                 \u001b[1;32mraise\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1797\u001b[0m             \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1798\u001b[1;33m                 \u001b[0merror\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1799\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1800\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_is_scalar_access\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36merror\u001b[1;34m()\u001b[0m\n\u001b[0;32m   1783\u001b[0m                 raise KeyError(u\"the label [{key}] is not in the [{axis}]\"\n\u001b[0;32m   1784\u001b[0m                                .format(key=key,\n\u001b[1;32m-> 1785\u001b[1;33m                                        axis=self.obj._get_axis_name(axis)))\n\u001b[0m\u001b[0;32m   1786\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1787\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'the label [China] is not in the [index]'"
     ]
    }
   ],
   "source": [
    "中国=list(dfa.loc['China'].values)[-11:]\n",
    "中国"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "加拿大=list(dfa.loc['Canada'].values)[-11:]\n",
    "加拿大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'df' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-7-6c1b03b390da>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0m法国\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'France'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m11\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0m法国\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'df' is not defined"
     ]
    }
   ],
   "source": [
    "法国=list(df.loc['France'].values)[-11:]\n",
    "法国"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name '中国' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-8-726ac51b6413>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     14\u001b[0m     )\n\u001b[0;32m     15\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mc\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m \u001b[0mbar_base\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrender_notebook\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-8-726ac51b6413>\u001b[0m in \u001b[0;36mbar_base\u001b[1;34m()\u001b[0m\n\u001b[0;32m      8\u001b[0m         \u001b[0mBar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m         \u001b[1;33m.\u001b[0m\u001b[0madd_xaxis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx轴\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m         \u001b[1;33m.\u001b[0m\u001b[0madd_yaxis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"中\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m中国\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     11\u001b[0m         \u001b[1;33m.\u001b[0m\u001b[0madd_yaxis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"加\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m加拿大\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     12\u001b[0m         \u001b[1;33m.\u001b[0m\u001b[0madd_yaxis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"法\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m法国\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name '中国' is not defined"
     ]
    }
   ],
   "source": [
    "\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Bar\n",
    "\n",
    "\n",
    "def bar_base() -> Bar:\n",
    "    c = (\n",
    "        Bar()\n",
    "        .add_xaxis(x轴)\n",
    "        .add_yaxis(\"中\", 中国)\n",
    "        .add_yaxis(\"加\", 加拿大)\n",
    "        .add_yaxis(\"法\", 法国)\n",
    "        .set_global_opts(title_opts=opts.TitleOpts(title=\"男性劳动力参与率\", subtitle=\"3个国家\"))\n",
    "    )\n",
    "    return c\n",
    "bar_base().render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Bar\n",
    "\n",
    "\n",
    "def bar_base() -> Bar:\n",
    "    c = (\n",
    "        Bar()\n",
    "        .add_xaxis(x轴)\n",
    "        .add_yaxis(\n",
    "            \"country\",\n",
    "            dfa2,\n",
    "            markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_=\"min\")]),\n",
    "        )\n",
    "        .set_global_opts(title_opts=opts.TitleOpts(title=\"男性劳动力参与率\"))\n",
    "    )\n",
    "    return c\n",
    "bar_base().render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>1.43284</td>\n",
       "      <td>1.41237</td>\n",
       "      <td>1.49926</td>\n",
       "      <td>1.49460</td>\n",
       "      <td>2.20461</td>\n",
       "      <td>2.27028</td>\n",
       "      <td>2.26241</td>\n",
       "      <td>1.94031</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.23639</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.34565</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.27600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.34523</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.36925</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.79661</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.78541</td>\n",
       "      <td>0.82566</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>1.36375</td>\n",
       "      <td>1.35543</td>\n",
       "      <td>1.37539</td>\n",
       "      <td>1.39701</td>\n",
       "      <td>1.40728</td>\n",
       "      <td>1.43551</td>\n",
       "      <td>1.42608</td>\n",
       "      <td>1.47336</td>\n",
       "      <td>1.52645</td>\n",
       "      <td>1.56984</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Arab World</td>\n",
       "      <td>1.04094</td>\n",
       "      <td>1.04136</td>\n",
       "      <td>1.04497</td>\n",
       "      <td>1.03854</td>\n",
       "      <td>1.03392</td>\n",
       "      <td>1.03775</td>\n",
       "      <td>1.06004</td>\n",
       "      <td>1.08843</td>\n",
       "      <td>1.07958</td>\n",
       "      <td>1.10959</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>1.49186</td>\n",
       "      <td>1.49160</td>\n",
       "      <td>1.54854</td>\n",
       "      <td>1.56222</td>\n",
       "      <td>1.60015</td>\n",
       "      <td>1.61270</td>\n",
       "      <td>1.63170</td>\n",
       "      <td>1.65707</td>\n",
       "      <td>1.66431</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>1.23839</td>\n",
       "      <td>1.21927</td>\n",
       "      <td>1.18578</td>\n",
       "      <td>1.18178</td>\n",
       "      <td>1.13286</td>\n",
       "      <td>1.14013</td>\n",
       "      <td>1.19169</td>\n",
       "      <td>1.26878</td>\n",
       "      <td>1.27369</td>\n",
       "      <td>1.32958</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>2.27844</td>\n",
       "      <td>2.68089</td>\n",
       "      <td>2.07896</td>\n",
       "      <td>2.24567</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Australia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.44446</td>\n",
       "      <td>1.42971</td>\n",
       "      <td>1.42093</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Austria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.19662</td>\n",
       "      <td>1.19258</td>\n",
       "      <td>1.19299</td>\n",
       "      <td>1.18812</td>\n",
       "      <td>1.18463</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>0.98681</td>\n",
       "      <td>0.98937</td>\n",
       "      <td>1.01629</td>\n",
       "      <td>1.04769</td>\n",
       "      <td>1.11285</td>\n",
       "      <td>1.14195</td>\n",
       "      <td>1.16234</td>\n",
       "      <td>1.17749</td>\n",
       "      <td>1.14894</td>\n",
       "      <td>1.14603</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.54268</td>\n",
       "      <td>0.46166</td>\n",
       "      <td>0.48504</td>\n",
       "      <td>0.44494</td>\n",
       "      <td>0.32848</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.42868</td>\n",
       "      <td>0.44861</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>1.24892</td>\n",
       "      <td>1.26628</td>\n",
       "      <td>1.27115</td>\n",
       "      <td>1.28248</td>\n",
       "      <td>1.29505</td>\n",
       "      <td>1.30332</td>\n",
       "      <td>1.30720</td>\n",
       "      <td>1.30150</td>\n",
       "      <td>1.30557</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Benin</td>\n",
       "      <td>0.39077</td>\n",
       "      <td>0.35390</td>\n",
       "      <td>0.27232</td>\n",
       "      <td>0.34509</td>\n",
       "      <td>0.38012</td>\n",
       "      <td>0.36512</td>\n",
       "      <td>0.40193</td>\n",
       "      <td>0.42069</td>\n",
       "      <td>0.43936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>0.48354</td>\n",
       "      <td>0.47905</td>\n",
       "      <td>0.49631</td>\n",
       "      <td>0.49568</td>\n",
       "      <td>0.49261</td>\n",
       "      <td>0.48590</td>\n",
       "      <td>0.52272</td>\n",
       "      <td>0.51226</td>\n",
       "      <td>0.52122</td>\n",
       "      <td>0.58203</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>0.59971</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.69404</td>\n",
       "      <td>0.72256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.73733</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.70066</td>\n",
       "      <td>0.70081</td>\n",
       "      <td>0.70714</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>1.32993</td>\n",
       "      <td>1.32290</td>\n",
       "      <td>1.29973</td>\n",
       "      <td>1.27459</td>\n",
       "      <td>1.27105</td>\n",
       "      <td>1.25935</td>\n",
       "      <td>1.27605</td>\n",
       "      <td>1.24473</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.71121</td>\n",
       "      <td>2.03262</td>\n",
       "      <td>2.23749</td>\n",
       "      <td>1.97832</td>\n",
       "      <td>1.91666</td>\n",
       "      <td>1.86808</td>\n",
       "      <td>1.89295</td>\n",
       "      <td>1.83390</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Bahamas, The</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>1.47214</td>\n",
       "      <td>1.44655</td>\n",
       "      <td>1.42699</td>\n",
       "      <td>1.39937</td>\n",
       "      <td>1.35478</td>\n",
       "      <td>1.33626</td>\n",
       "      <td>1.32835</td>\n",
       "      <td>1.29107</td>\n",
       "      <td>1.24343</td>\n",
       "      <td>1.18604</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Belize</td>\n",
       "      <td>1.66270</td>\n",
       "      <td>1.59618</td>\n",
       "      <td>1.65815</td>\n",
       "      <td>1.65322</td>\n",
       "      <td>1.64151</td>\n",
       "      <td>1.65257</td>\n",
       "      <td>1.60790</td>\n",
       "      <td>1.61911</td>\n",
       "      <td>1.62002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bermuda</td>\n",
       "      <td>2.52370</td>\n",
       "      <td>2.05683</td>\n",
       "      <td>2.06675</td>\n",
       "      <td>1.98982</td>\n",
       "      <td>2.22829</td>\n",
       "      <td>1.87512</td>\n",
       "      <td>2.31080</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.68152</td>\n",
       "      <td>1.49869</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>1.32152</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.31336</td>\n",
       "      <td>1.34778</td>\n",
       "      <td>1.35137</td>\n",
       "      <td>1.36005</td>\n",
       "      <td>1.33980</td>\n",
       "      <td>1.38149</td>\n",
       "      <td>1.36569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>2.20390</td>\n",
       "      <td>2.18271</td>\n",
       "      <td>2.24550</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Brunei Darussalam</td>\n",
       "      <td>1.78264</td>\n",
       "      <td>1.86650</td>\n",
       "      <td>1.76483</td>\n",
       "      <td>1.76696</td>\n",
       "      <td>1.85738</td>\n",
       "      <td>1.73538</td>\n",
       "      <td>1.70615</td>\n",
       "      <td>1.65575</td>\n",
       "      <td>1.62027</td>\n",
       "      <td>1.56193</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>Latin America &amp; the Caribbean (IDA &amp; IBRD coun...</td>\n",
       "      <td>1.26326</td>\n",
       "      <td>1.27645</td>\n",
       "      <td>1.27155</td>\n",
       "      <td>1.28637</td>\n",
       "      <td>1.28794</td>\n",
       "      <td>1.29219</td>\n",
       "      <td>1.28962</td>\n",
       "      <td>1.29674</td>\n",
       "      <td>1.29734</td>\n",
       "      <td>1.29563</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Timor-Leste</td>\n",
       "      <td>0.68262</td>\n",
       "      <td>0.71834</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>Middle East &amp; North Africa (IDA &amp; IBRD countries)</td>\n",
       "      <td>1.00396</td>\n",
       "      <td>0.98703</td>\n",
       "      <td>1.00101</td>\n",
       "      <td>1.00010</td>\n",
       "      <td>0.97806</td>\n",
       "      <td>0.96614</td>\n",
       "      <td>0.97803</td>\n",
       "      <td>0.99614</td>\n",
       "      <td>0.99814</td>\n",
       "      <td>1.01615</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>Tonga</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>South Asia (IDA &amp; IBRD)</td>\n",
       "      <td>0.71430</td>\n",
       "      <td>0.73983</td>\n",
       "      <td>0.79237</td>\n",
       "      <td>0.87568</td>\n",
       "      <td>0.92636</td>\n",
       "      <td>0.96754</td>\n",
       "      <td>0.96198</td>\n",
       "      <td>0.96763</td>\n",
       "      <td>0.98945</td>\n",
       "      <td>1.01186</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Sub-Saharan Africa (IDA &amp; IBRD countries)</td>\n",
       "      <td>0.70838</td>\n",
       "      <td>0.70587</td>\n",
       "      <td>0.69073</td>\n",
       "      <td>0.71461</td>\n",
       "      <td>0.72391</td>\n",
       "      <td>0.72271</td>\n",
       "      <td>0.73492</td>\n",
       "      <td>0.74392</td>\n",
       "      <td>0.75258</td>\n",
       "      <td>0.75471</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>1.50840</td>\n",
       "      <td>1.55235</td>\n",
       "      <td>1.63399</td>\n",
       "      <td>1.57185</td>\n",
       "      <td>1.59912</td>\n",
       "      <td>1.64585</td>\n",
       "      <td>1.65751</td>\n",
       "      <td>1.73072</td>\n",
       "      <td>1.80442</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.82463</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.54915</td>\n",
       "      <td>0.54125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.53811</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>0.75974</td>\n",
       "      <td>0.74625</td>\n",
       "      <td>0.73313</td>\n",
       "      <td>0.68457</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.72971</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Ukraine</td>\n",
       "      <td>1.27167</td>\n",
       "      <td>1.25648</td>\n",
       "      <td>1.18348</td>\n",
       "      <td>1.15083</td>\n",
       "      <td>1.19260</td>\n",
       "      <td>1.15601</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>1.15972</td>\n",
       "      <td>1.16757</td>\n",
       "      <td>1.17606</td>\n",
       "      <td>1.17781</td>\n",
       "      <td>1.17991</td>\n",
       "      <td>1.17814</td>\n",
       "      <td>1.18721</td>\n",
       "      <td>1.19392</td>\n",
       "      <td>1.19559</td>\n",
       "      <td>1.20171</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>United States</td>\n",
       "      <td>1.40157</td>\n",
       "      <td>1.39311</td>\n",
       "      <td>1.38578</td>\n",
       "      <td>1.39345</td>\n",
       "      <td>1.37343</td>\n",
       "      <td>1.36078</td>\n",
       "      <td>1.35624</td>\n",
       "      <td>1.34487</td>\n",
       "      <td>1.36020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>0.69056</td>\n",
       "      <td>0.68058</td>\n",
       "      <td>0.64384</td>\n",
       "      <td>0.59820</td>\n",
       "      <td>0.59647</td>\n",
       "      <td>0.62043</td>\n",
       "      <td>0.62901</td>\n",
       "      <td>0.64671</td>\n",
       "      <td>0.60792</td>\n",
       "      <td>0.69772</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>St. Vincent and the Grenadines</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.21255</td>\n",
       "      <td>1.67388</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Venezuela, RB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>1.59500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.79420</td>\n",
       "      <td>1.58504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Virgin Islands (U.S.)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>1.00745</td>\n",
       "      <td>1.01665</td>\n",
       "      <td>1.02616</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90818</td>\n",
       "      <td>1.05553</td>\n",
       "      <td>1.00551</td>\n",
       "      <td>1.24238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>World</td>\n",
       "      <td>1.07637</td>\n",
       "      <td>1.07705</td>\n",
       "      <td>1.07587</td>\n",
       "      <td>1.09559</td>\n",
       "      <td>1.10652</td>\n",
       "      <td>1.11485</td>\n",
       "      <td>1.11687</td>\n",
       "      <td>1.12460</td>\n",
       "      <td>1.13128</td>\n",
       "      <td>1.13933</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>Samoa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.43666</td>\n",
       "      <td>0.44019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.40606</td>\n",
       "      <td>1.41345</td>\n",
       "      <td>1.41181</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.40463</td>\n",
       "      <td>1.43187</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.36901</td>\n",
       "      <td>0.73715</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.73304</td>\n",
       "      <td>0.69562</td>\n",
       "      <td>0.70526</td>\n",
       "      <td>0.77549</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.83997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>264 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               country     2009     2010  \\\n",
       "0                                                Aruba  1.43284  1.41237   \n",
       "1                                          Afghanistan  0.23639      NaN   \n",
       "2                                               Angola      NaN      NaN   \n",
       "3                                              Albania  1.36375  1.35543   \n",
       "4                                              Andorra      NaN      NaN   \n",
       "5                                           Arab World  1.04094  1.04136   \n",
       "6                                 United Arab Emirates      NaN      NaN   \n",
       "7                                            Argentina  1.49186  1.49160   \n",
       "8                                              Armenia  1.23839  1.21927   \n",
       "9                                       American Samoa      NaN      NaN   \n",
       "10                                 Antigua and Barbuda  2.27844  2.68089   \n",
       "11                                           Australia      NaN      NaN   \n",
       "12                                             Austria      NaN      NaN   \n",
       "13                                          Azerbaijan  0.98681  0.98937   \n",
       "14                                             Burundi      NaN  0.54268   \n",
       "15                                             Belgium  1.24892  1.26628   \n",
       "16                                               Benin  0.39077  0.35390   \n",
       "17                                        Burkina Faso  0.48354  0.47905   \n",
       "18                                          Bangladesh  0.59971      NaN   \n",
       "19                                            Bulgaria  1.32993  1.32290   \n",
       "20                                             Bahrain      NaN      NaN   \n",
       "21                                        Bahamas, The      NaN      NaN   \n",
       "22                              Bosnia and Herzegovina      NaN      NaN   \n",
       "23                                             Belarus  1.47214  1.44655   \n",
       "24                                              Belize  1.66270  1.59618   \n",
       "25                                             Bermuda  2.52370  2.05683   \n",
       "26                                             Bolivia      NaN      NaN   \n",
       "27                                              Brazil  1.32152      NaN   \n",
       "28                                            Barbados  2.20390  2.18271   \n",
       "29                                   Brunei Darussalam  1.78264  1.86650   \n",
       "..                                                 ...      ...      ...   \n",
       "234  Latin America & the Caribbean (IDA & IBRD coun...  1.26326  1.27645   \n",
       "235                                        Timor-Leste  0.68262  0.71834   \n",
       "236  Middle East & North Africa (IDA & IBRD countries)  1.00396  0.98703   \n",
       "237                                              Tonga      NaN      NaN   \n",
       "238                            South Asia (IDA & IBRD)  0.71430  0.73983   \n",
       "239          Sub-Saharan Africa (IDA & IBRD countries)  0.70838  0.70587   \n",
       "240                                Trinidad and Tobago      NaN      NaN   \n",
       "241                                            Tunisia  1.50840  1.55235   \n",
       "242                                             Turkey      NaN      NaN   \n",
       "243                                             Tuvalu      NaN      NaN   \n",
       "244                                           Tanzania      NaN  0.82463   \n",
       "245                                             Uganda  0.75974  0.74625   \n",
       "246                                            Ukraine  1.27167  1.25648   \n",
       "247                                Upper middle income  1.15972  1.16757   \n",
       "248                                            Uruguay      NaN      NaN   \n",
       "249                                      United States  1.40157  1.39311   \n",
       "250                                         Uzbekistan  0.69056  0.68058   \n",
       "251                     St. Vincent and the Grenadines      NaN      NaN   \n",
       "252                                      Venezuela, RB      NaN      NaN   \n",
       "253                             British Virgin Islands  1.59500      NaN   \n",
       "254                              Virgin Islands (U.S.)      NaN      NaN   \n",
       "255                                            Vietnam  1.00745  1.01665   \n",
       "256                                            Vanuatu      NaN      NaN   \n",
       "257                                              World  1.07637  1.07705   \n",
       "258                                              Samoa      NaN      NaN   \n",
       "259                                             Kosovo      NaN      NaN   \n",
       "260                                        Yemen, Rep.      NaN  0.43666   \n",
       "261                                       South Africa      NaN      NaN   \n",
       "262                                             Zambia      NaN      NaN   \n",
       "263                                           Zimbabwe      NaN  0.73304   \n",
       "\n",
       "        2011     2012     2013     2014     2015     2016     2017     2018  \\\n",
       "0    1.49926  1.49460  2.20461  2.27028  2.26241  1.94031      NaN      NaN   \n",
       "1    0.34565      NaN      NaN  0.27600      NaN      NaN      NaN  0.34523   \n",
       "2    0.36925      NaN  0.79661      NaN  0.78541  0.82566      NaN      NaN   \n",
       "3    1.37539  1.39701  1.40728  1.43551  1.42608  1.47336  1.52645  1.56984   \n",
       "4        NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "5    1.04497  1.03854  1.03392  1.03775  1.06004  1.08843  1.07958  1.10959   \n",
       "6        NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "7    1.54854  1.56222  1.60015  1.61270  1.63170  1.65707  1.66431      NaN   \n",
       "8    1.18578  1.18178  1.13286  1.14013  1.19169  1.26878  1.27369  1.32958   \n",
       "9        NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "10   2.07896  2.24567      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "11       NaN      NaN      NaN      NaN  1.44446  1.42971  1.42093      NaN   \n",
       "12       NaN      NaN  1.19662  1.19258  1.19299  1.18812  1.18463      NaN   \n",
       "13   1.01629  1.04769  1.11285  1.14195  1.16234  1.17749  1.14894  1.14603   \n",
       "14   0.46166  0.48504  0.44494  0.32848      NaN  0.42868  0.44861      NaN   \n",
       "15   1.27115  1.28248  1.29505  1.30332  1.30720  1.30150  1.30557      NaN   \n",
       "16   0.27232  0.34509  0.38012  0.36512  0.40193  0.42069  0.43936      NaN   \n",
       "17   0.49631  0.49568  0.49261  0.48590  0.52272  0.51226  0.52122  0.58203   \n",
       "18   0.69404  0.72256      NaN  0.73733      NaN  0.70066  0.70081  0.70714   \n",
       "19   1.29973  1.27459  1.27105  1.25935  1.27605  1.24473      NaN      NaN   \n",
       "20   1.71121  2.03262  2.23749  1.97832  1.91666  1.86808  1.89295  1.83390   \n",
       "21       NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "22       NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "23   1.42699  1.39937  1.35478  1.33626  1.32835  1.29107  1.24343  1.18604   \n",
       "24   1.65815  1.65322  1.64151  1.65257  1.60790  1.61911  1.62002      NaN   \n",
       "25   2.06675  1.98982  2.22829  1.87512  2.31080      NaN  1.68152  1.49869   \n",
       "26       NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "27   1.31336  1.34778  1.35137  1.36005  1.33980  1.38149  1.36569      NaN   \n",
       "28   2.24550      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "29   1.76483  1.76696  1.85738  1.73538  1.70615  1.65575  1.62027  1.56193   \n",
       "..       ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "234  1.27155  1.28637  1.28794  1.29219  1.28962  1.29674  1.29734  1.29563   \n",
       "235      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "236  1.00101  1.00010  0.97806  0.96614  0.97803  0.99614  0.99814  1.01615   \n",
       "237      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "238  0.79237  0.87568  0.92636  0.96754  0.96198  0.96763  0.98945  1.01186   \n",
       "239  0.69073  0.71461  0.72391  0.72271  0.73492  0.74392  0.75258  0.75471   \n",
       "240      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "241  1.63399  1.57185  1.59912  1.64585  1.65751  1.73072  1.80442      NaN   \n",
       "242      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "243      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "244      NaN  0.54915  0.54125      NaN  0.53811      NaN      NaN      NaN   \n",
       "245  0.73313  0.68457      NaN  0.72971      NaN      NaN      NaN      NaN   \n",
       "246  1.18348  1.15083  1.19260  1.15601      NaN      NaN      NaN      NaN   \n",
       "247  1.17606  1.17781  1.17991  1.17814  1.18721  1.19392  1.19559  1.20171   \n",
       "248      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "249  1.38578  1.39345  1.37343  1.36078  1.35624  1.34487  1.36020      NaN   \n",
       "250  0.64384  0.59820  0.59647  0.62043  0.62901  0.64671  0.60792  0.69772   \n",
       "251      NaN      NaN      NaN  2.21255  1.67388      NaN      NaN      NaN   \n",
       "252      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "253      NaN      NaN      NaN      NaN  1.79420  1.58504      NaN      NaN   \n",
       "254      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "255  1.02616      NaN  0.90818  1.05553  1.00551  1.24238      NaN      NaN   \n",
       "256      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "257  1.07587  1.09559  1.10652  1.11485  1.11687  1.12460  1.13128  1.13933   \n",
       "258      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "259      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "260  0.44019      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "261      NaN  1.40606  1.41345  1.41181      NaN  1.40463  1.43187      NaN   \n",
       "262  0.36901  0.73715      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "263  0.69562  0.70526  0.77549      NaN  0.83997      NaN      NaN      NaN   \n",
       "\n",
       "     2019  \n",
       "0     NaN  \n",
       "1     NaN  \n",
       "2     NaN  \n",
       "3     NaN  \n",
       "4     NaN  \n",
       "5     NaN  \n",
       "6     NaN  \n",
       "7     NaN  \n",
       "8     NaN  \n",
       "9     NaN  \n",
       "10    NaN  \n",
       "11    NaN  \n",
       "12    NaN  \n",
       "13    NaN  \n",
       "14    NaN  \n",
       "15    NaN  \n",
       "16    NaN  \n",
       "17    NaN  \n",
       "18    NaN  \n",
       "19    NaN  \n",
       "20    NaN  \n",
       "21    NaN  \n",
       "22    NaN  \n",
       "23    NaN  \n",
       "24    NaN  \n",
       "25    NaN  \n",
       "26    NaN  \n",
       "27    NaN  \n",
       "28    NaN  \n",
       "29    NaN  \n",
       "..    ...  \n",
       "234   NaN  \n",
       "235   NaN  \n",
       "236   NaN  \n",
       "237   NaN  \n",
       "238   NaN  \n",
       "239   NaN  \n",
       "240   NaN  \n",
       "241   NaN  \n",
       "242   NaN  \n",
       "243   NaN  \n",
       "244   NaN  \n",
       "245   NaN  \n",
       "246   NaN  \n",
       "247   NaN  \n",
       "248   NaN  \n",
       "249   NaN  \n",
       "250   NaN  \n",
       "251   NaN  \n",
       "252   NaN  \n",
       "253   NaN  \n",
       "254   NaN  \n",
       "255   NaN  \n",
       "256   NaN  \n",
       "257   NaN  \n",
       "258   NaN  \n",
       "259   NaN  \n",
       "260   NaN  \n",
       "261   NaN  \n",
       "262   NaN  \n",
       "263   NaN  \n",
       "\n",
       "[264 rows x 12 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.read_csv(\"School_enrollment.csv\",encoding = 'gbk')\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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